MROvendor (A Brand of Vestra Corporation)

The NVIDIA Tesla M60, Tesla M40, and Tesla K80 Server GPUs are powerful accelerator cards designed for high-performance computing (HPC), artificial intelligence workloads, virtualization environments, and enterprise data center applications. These GPUs are widely used in GPU servers and AI workstations to accelerate parallel computing, deep learning, and large-scale data processing.

Available through MRObotAI, these server-grade GPUs are built for continuous operation in data centers, research labs, and enterprise computing environments that require scalable GPU acceleration.

The NVIDIA Tesla M60 is designed primarily for GPU virtualization and cloud graphics environments. It features 16GB GDDR5 memory split across two GPUs, enabling multiple virtual machines to access GPU acceleration simultaneously. This makes it ideal for VDI (Virtual Desktop Infrastructure), remote workstations, and cloud-based graphics applications.

The NVIDIA Tesla M40 is optimized for deep learning training and inference workloads. It offers 24GB GDDR5 memory and thousands of CUDA cores, enabling faster training of neural networks and high-performance data analytics. This GPU is commonly used in AI development environments and GPU compute clusters.

The NVIDIA Tesla K80 features a dual-GPU design with 24GB GDDR5 memory, providing strong parallel computing performance for scientific simulations, machine learning workloads, and HPC applications. The K80 remains a widely deployed accelerator for research institutions and enterprise computing infrastructures.

These Tesla GPUs are designed for installation in GPU servers and rack-mounted systems using PCIe interfaces. They support advanced parallel computing frameworks including CUDA, OpenCL, and GPU-accelerated libraries, enabling developers to accelerate AI frameworks, scientific simulations, and data processing pipelines.

MRObotAI provides these GPUs for organizations building AI workstations, GPU servers, deep learning clusters, virtualization infrastructure, and high-performance computing platforms.

Key Features

• Enterprise GPU Accelerator Cards

• Models: Tesla M60 / Tesla M40 / Tesla K80

• High-Capacity GDDR5 Memory

• CUDA Parallel Processing Architecture

• Designed for Data Center Servers

• Optimized for AI, HPC, and Virtualization

• PCI Express Interface Compatibility

• Reliable Performance for Continuous Operation

Applications

• Artificial Intelligence & Deep Learning

• Machine Learning Model Training

• GPU Virtualization & VDI

• High Performance Computing (HPC)

• Scientific Research & Simulation

• Data Analytics & Big Data Processing

• GPU Compute Clusters

Supplier: MRObotAI
Category: AI Workstation GPUs / Data Center GPUs / GPU Computing Accelerators

The GIGABYTE R181 and R282 Rack Server Systems are enterprise‑class, high‑performance server platforms engineered to deliver exceptional compute power, reliability, and scalability for AI workstations, GPU servers, machine learning infrastructures, and data center applications. These rugged rack‑mount servers are designed for continuous operation under heavy workloads, making them ideal for deep learning, virtualization, analytics, cloud computing, and high‑performance computing (HPC) environments.

GIGABYTE Rack Servers integrate advanced hardware, flexible storage, and high‑bandwidth expansion options to support demanding enterprise tasks. Models like R282‑N81, R282‑G30, and variants offer dual CPU support, multiple PCIe slots for GPUs and accelerators, high‑density DIMM memory support, and hot‑swappable storage bays — enabling users to build scalable and versatile systems tailored to specific compute needs.

⭐ Overview & Architecture

The GIGABYTE R181 / R282 Rack Server System family supports the latest dual‑socket processors and modern server features:

• Dual CPU Support: Many R282 models are designed for up to two 3rd Gen Intel® Xeon® Scalable processors with up to 40+ cores per socket, delivering robust multi‑threaded performance.

• High‑Capacity Memory: Up to 32 DIMM slots, supporting DDR4 RDIMM/LRDIMM and 8‑channel memory architecture for high throughput and large memory capacity.

• Flexible Storage: Multiple hot‑swappable bays compatible with Gen4 NVMe, SATA, or SAS drives allow high‑speed storage configurations for data‑intensive workloads.

• Expansion & GPU Capable: Equipped with numerous PCIe Gen4 slots and OCP 3.0 mezzanine slots, these servers support GPU accelerators, high‑speed networking cards, and NVMe expansion for AI and HPC applications.

• Redundant Power: Dual redundant 80 PLUS Platinum power supplies ensure continuous uptime and reliable power efficiency in critical compute environments.

• Enterprise‑Ready Management: Integrated BMC through platforms like ASPEED® AST2600 allows remote management, monitoring, and server health control.

🔥 Key Features

✔ High‑performance rack‑mounted server platforms
✔ Dual processor support (Intel Xeon Scalable CPUs)
✔ Up to 32 DIMM memory slots with DDR4 RDIMM/LRDIMM support
✔ Multiple hot‑swap NVMe/SATA/SAS storage bays
✔ Expansion slots for GPUs, accelerators & networking cards
✔ Redundant power supply support
✔ Enterprise grade server management features
✔ Scalable architecture for AI, cloud & virtualization workloads

🚀 Typical Applications

✔ AI Workstations & Deep Learning Servers
✔ GPU Compute Servers & GPU Acceleration Platforms
✔ Machine Learning Development Environments
✔ Virtualization & VDI Clusters
✔ High Performance Computing (HPC) Applications
✔ Enterprise Data Center Infrastructure
✔ Cloud & Hybrid Compute Deployments
✔ Big Data Analytics & Storage Systems

📊 Why Choose GIGABYTE R181 / R282 Rack Servers?

The GIGABYTE R181 / R282 Rack Server Systems combine enterprise‑grade hardware with flexible configurations and scalability, making them ideal for modern AI workloads and high‑performance computing tasks. With support for high memory density, fast storage, GPU expansion, and redundant power systems, these servers deliver reliability and performance needed for mission‑critical infrastructure.

Supplier: MRObotAI
Category: AI Workstation Servers / GPU Rack Servers / Enterprise Compute Systems

The ZOTAC GTX 1660 AMP and GTX 1650 AMP Graphics Cards are reliable and efficient GPUs designed for AI workstations, professional visualization, GPU computing, and multimedia workloads. Built on the advanced NVIDIA Turing Architecture, these graphics cards deliver improved performance, energy efficiency, and modern GPU acceleration for demanding applications.

Available through MRObotAI, these GPUs are suitable for developers, engineers, designers, and research environments that require stable GPU performance for AI development, machine learning experimentation, rendering, and data processing.

The NVIDIA GeForce GTX 1660 AMP GPU offers powerful compute performance with 1408 CUDA cores and high-speed GDDR5/GDDR6 memory, making it ideal for GPU-accelerated workloads such as 3D rendering, video editing, AI inference, and simulation tasks. Its higher memory bandwidth and boosted clock speeds help deliver smooth performance in workstation environments.

The NVIDIA GeForce GTX 1650 AMP GPU is a compact and energy-efficient solution designed for entry-level GPU acceleration. It typically features 896 CUDA cores and GDDR6 memory, making it suitable for lightweight AI workloads, CAD applications, multimedia editing, and GPU-accelerated computing tasks in compact workstation builds.

Both GPUs incorporate optimized cooling solutions from ZOTAC’s AMP series, featuring advanced dual-fan designs that ensure effective heat dissipation and stable performance during extended computing workloads. Their compact form factor and PCIe interface allow easy installation in various workstation configurations and server systems.

These GPUs support modern display technologies including HDMI and DisplayPort outputs, enabling multi-monitor workstation setups for design, visualization, and development environments.

MRObotAI provides these GPUs for AI workstation builds, GPU computing nodes, research labs, engineering systems, and content creation workstations where cost-effective and reliable graphics performance is required.

Key Features

• NVIDIA Turing Architecture GPU

• Models: GTX 1660 AMP / GTX 1650 AMP

• High-Speed GDDR Memory

• CUDA Parallel Processing Cores

• Efficient Cooling with AMP Series Design

• PCI Express Interface Compatibility

• Multi-Display Support (HDMI / DisplayPort)

• Stable Performance for Continuous Workloads

• Suitable for Workstations and GPU Computing Systems

Applications

• AI Development & Testing

• Machine Learning Experiments

• GPU Workstations

• Video Editing & Media Production

• 3D Rendering & Visualization

• Engineering & CAD Applications

• Scientific and Research Computing

The MROBOT OEM RTX 3050 Compatible / RTX 3060 Compatible GPU is a reliable graphics processing solution designed for AI workstations, GPU compute systems, and high-performance computing environments. These OEM graphics cards are compatible with systems designed for NVIDIA GeForce RTX 3050 and NVIDIA GeForce RTX 3060 class GPUs, delivering strong parallel processing capabilities for AI development, machine learning workloads, rendering, and GPU-accelerated applications.

Built on the advanced NVIDIA Ampere Architecture, these GPUs provide efficient processing performance with dedicated CUDA cores, Tensor cores, and ray-tracing cores, enabling accelerated AI computation, simulation workloads, and modern visualization tasks. The architecture supports advanced technologies such as DLSS AI acceleration and real-time ray tracing for professional graphics workloads.

The RTX 3050 class GPU typically offers around 2,560 CUDA cores and up to 8GB GDDR6 memory, making it suitable for entry-level AI workloads, GPU virtualization, and machine learning inference environments. Meanwhile, RTX 3060 class GPUs deliver significantly higher performance with up to 3,584 CUDA cores and up to 12GB GDDR6 memory, providing improved memory bandwidth and compute capability for deep learning models and large data processing tasks.

The MROBOT OEM GPU is designed for compatibility with workstation and server platforms using PCI Express interfaces, ensuring seamless integration into AI workstations, GPU servers, rendering systems, and compute nodes. With optimized thermal design and stable power management, these GPUs are suitable for continuous operation in professional computing environments.

These GPUs are widely used in AI development labs, machine learning infrastructure, data science workstations, rendering studios, and engineering simulation systems. MRObotAI provides these solutions for organizations building scalable AI infrastructure and GPU computing platforms.

Key Features

• Compatible with RTX 3050 / RTX 3060 GPU Class

• NVIDIA Ampere Architecture Based GPU

• High-Speed GDDR6 Memory

• CUDA Parallel Processing Cores

• AI Acceleration with Tensor Cores

• Ray Tracing Capability for Visualization

• PCIe Interface for Workstation Integration

• Optimized Cooling for Continuous Operation

• Multi-Display Support (HDMI / DisplayPort)

Applications

• Artificial Intelligence (AI) Workstations

• Machine Learning & Deep Learning Development

• GPU Computing Servers

• Data Science & Research Labs

• 3D Rendering & Visualization

• Video Processing & Content Creation

• Engineering & CAD Workstations

Supermicro BPN‑SAS and BPN‑NVMe Storage Backplanes available from MRObotAI are premium enterprise‑grade storage expansion modules designed for AI servers, GPU compute systems, data center storage arrays, and high‑performance computing platforms. These backplanes provide robust connectivity for SAS, SATA and NVMe SSDs/HDDs in compatible Supermicro chassis and enable scalable, high‑density storage configurations that support demanding AI workloads, database applications, virtualization and large dataset processing.

Supermicro storage backplanes are engineered to integrate seamlessly into server environments, providing reliable connectivity, hot‑swappable drive support, and flexible storage topologies that maximize data throughput and uptime. They are essential components for building scalable storage solutions in AI infrastructure, deep learning servers, cloud storage clusters, and GPU‑accelerated systems.

🔥 Key Features & Benefits

✔ Versatile SAS & NVMe Drive Support –
Choose from a wide range of Supermicro backplanes that support 12Gb/s SAS3/SATA3 or high‑speed NVMe SSDs, allowing easy configuration of mixed storage environments. Many backplanes support hybrid configurations where some slots can accept NVMe and SAS/SATA simultaneously, giving maximum flexibility.

✔ High Drive Density –
Backplanes are available in multiple slot configurations (e.g., 8‑port, 12‑port, 16‑port, 20‑port, 24‑port), enabling high storage capacity and density without sacrificing performance.

✔ Hot‑Swappable Design –
Designed for enterprise uptime, these backplanes support hot‑swappable drive bays that allow drive replacement without shutting down the server — crucial for data centers and always‑on systems.

✔ Enterprise‑Class Reliability –
Supermicro backplanes are tested for durability and reliability under heavy workloads, ensuring stable performance for critical storage infrastructures.

✔ High‑Bandwidth Backplane Connectivity –
Direct‑attach or expander‑based designs help provide optimized throughput paths from drives to controllers, improving storage performance for AI, data processing, and large datasets.

✅ Typical Use Cases

• AI & Deep Learning Server Storage – Backplanes provide robust storage for training datasets and AI model repositories.
• GPU and HPC Clusters – High‑speed NVMe support enables fast data feeding to compute nodes.
• Data Center Storage Nodes – High‑capacity drive support for virtualization, cloud and enterprise storage.
• Database & Analytics Systems – Low‑latency drive access for business‑critical applications.
• Virtualization & Backup Servers – Suitable for hybrid SAS/NVMe storage pools with redundancy.

📈 Why Choose Supermicro Storage Backplanes from MRObotAI?

MRObotAI supplies genuine Supermicro BPN‑SAS & BPN‑NVMe backplanes that are integral to building scalable, high‑performance server storage solutions. Whether you are expanding storage in an AI‑centric compute cluster or setting up high‑throughput enterprise storage servers, these backplanes provide the flexibility and performance required by modern IT infrastructures.

With options supporting SAS3 12Gb/s speeds, mixed NVMe/SAS/SATA configurations, and high‑density slot counts, Supermicro backplanes deliver both performance and scalability for demanding workloads — making them ideal for data centers, research facilities, and enterprise AI deployments.

The Colorful Technology RTX 2060 NB and RTX 2070 NB Graphics Cards are powerful GPU solutions designed for AI workstations, rendering systems, and GPU-accelerated computing environments. Built on the advanced NVIDIA Turing Architecture, these graphics cards provide efficient parallel processing, AI acceleration, and high-performance graphics capabilities for professional workloads.

Available through MRObotAI, these GPUs are suitable for developers, engineers, data scientists, and enterprises requiring reliable GPU hardware for machine learning, visualization, and compute-intensive applications.

The NVIDIA GeForce RTX 2060 NB GPU typically features 6GB GDDR6 memory and over 1900 CUDA cores, delivering strong performance for AI inference, GPU rendering, and high-resolution visualization tasks. Its dedicated Tensor Cores accelerate AI workloads while Ray Tracing Cores enable real-time ray tracing for advanced graphics applications.

For higher performance requirements, the NVIDIA GeForce RTX 2070 NB GPU offers 8GB GDDR6 memory and significantly more CUDA cores, enabling faster processing of deep learning models, simulation workloads, and high-end rendering tasks. This GPU is commonly used in professional workstations and GPU compute environments where increased performance and memory bandwidth are essential.

Both GPUs support advanced technologies from NVIDIA, including DLSS (Deep Learning Super Sampling), real-time ray tracing, and GPU acceleration for modern AI frameworks and rendering engines. These capabilities help improve processing efficiency and performance across various compute workloads.

The NB series graphics cards from Colorful feature an optimized dual-fan cooling design that ensures stable thermal performance and reliable operation during extended computing workloads. With support for PCI Express interface connectivity and multiple display outputs such as HDMI and DisplayPort, these GPUs can be easily integrated into AI workstations and multi-display setups.

MRObotAI supplies these GPUs for AI workstation builds, GPU servers, research labs, engineering simulation systems, and professional content creation environments where reliable GPU acceleration is required.

Key Features

• NVIDIA Turing Architecture GPU

• Models: RTX 2060 NB / RTX 2070 NB

• High-Speed GDDR6 Memory

• CUDA Parallel Processing Cores

• AI Acceleration with Tensor Cores

• Real-Time Ray Tracing Support

• Dual-Fan Cooling Design

• PCIe Interface Compatibility

• HDMI and DisplayPort Connectivity

Applications

• Artificial Intelligence (AI) Development

• Machine Learning & Deep Learning

• GPU Workstations

• 3D Rendering & Animation

• Video Editing & Media Production

• Engineering Simulation & CAD

• Scientific Research & Data Processing

The Gigabyte Technology Waterforce GPU Liquid Cooling System is a high-performance cooling solution designed to maintain optimal temperatures for powerful GPUs used in AI workstations, GPU servers, and high-performance computing environments. Engineered for demanding workloads, the Waterforce cooling system utilizes advanced liquid cooling technology to efficiently dissipate heat generated by modern graphics processors.

Available through MRObotAI, this GPU cooling system is suitable for professional AI infrastructure, rendering workstations, machine learning development systems, and data-intensive computing platforms that require reliable thermal management.

The AORUS Waterforce cooling technology integrates a closed-loop liquid cooling mechanism with a high-efficiency pump, radiator, and cooling block that directly contacts the GPU core. This design helps significantly reduce GPU temperatures compared to traditional air cooling systems, allowing graphics cards to operate at higher performance levels for longer periods.

Waterforce GPU cooling solutions are widely used in high-end GPU configurations such as NVIDIA GeForce RTX 3080, NVIDIA GeForce RTX 3090, and other high-power GPUs, where advanced thermal control is required to maintain stable system operation during heavy computational workloads such as AI training, deep learning model development, 3D rendering, and scientific simulations.

The liquid cooling system typically features a high-performance radiator and premium tubing to ensure efficient heat transfer and long-term durability. Many Waterforce systems also incorporate customizable RGB lighting and optimized pump control to provide both aesthetic design and advanced cooling functionality for professional workstation builds.

With efficient heat dissipation and quieter operation compared to traditional air-cooled GPUs, the Gigabyte Waterforce cooling system enables stable performance during continuous workloads in AI labs, research facilities, engineering workstations, and media production studios.

MRObotAI supplies these cooling solutions as part of its AI workstation hardware, GPU server infrastructure, and high-performance computing system components.

Key Features

• Advanced GPU Liquid Cooling System

• Waterforce Closed-Loop Cooling Technology

• High-Efficiency Pump and Radiator Design

• Direct GPU Core Cooling Block

• Reduced GPU Temperature and Noise Levels

• Designed for High-Power GPUs

• Durable Cooling Tubing and Radiator System

• Suitable for Workstations and GPU Servers

Upgrade networking performance for your AI workstations, servers, GPU compute systems and high‑performance networks with the GIGABYTE 10G LAN Network Adapter PCIe — a high‑speed 10 Gigabit Ethernet network interface card designed to deliver ultra‑fast, reliable data transfer and low‑latency connectivity required by modern AI and compute workloads. 10 Gigabit Ethernet (10 GbE) provides up to 10× faster performance than traditional 1 GbE connections, dramatically boosting data transfer, cluster communication, large dataset movement and real‑time application throughput.

These PCIe 10G LAN adapters integrate seamlessly with standard PCI Express x4 / x8 slots, making them ideal upgrades for AI training servers, GPU clusters, virtualization hosts and workstation builds that demand high‑bandwidth networking. Backward compatibility with legacy network speeds (5 Gbps, 2.5 Gbps, 1 Gbps and below) ensures flexible deployment across existing network infrastructures.

Key Benefits:
• Ultra‑Fast 10GbE Connectivity: Single‑port 10GBASE‑T RJ45 interface delivers blazing‑fast 10 Gigabit network speeds for large data transfers and communication across AI clusters.
• Backward Compatibility: Supports multiple speeds including 10 Gbps, 5 Gbps, 2.5 Gbps, 1 Gbps, 100 Mbps and 10 Mbps over standard Cat6a/Cat7 cabling, ensuring compatibility with legacy networks while enabling future‑ready performance.
• Easy PCIe Installation: Simply install into a PCIe x4 slot (compatible with PCIe 3.0 interfaces) for immediate high‑speed Ethernet support without complex configuration.
• Low Latency & High Throughput: Ideal for AI training nodes, GPU compute clusters and enterprise applications that require high throughput and minimal packet delay.
• Broad Operating System Support: Compatible with modern server and workstation operating systems, delivering reliable network performance across diverse environments.

📌 Featured 10GbE PCIe Network Adapter Variants

Here are reliable 10 Gigabit network adapters compatible with PCIe slots useful for AI & server environments:

10Gb NIC Dual RJ45 Port Ethernet Converged Network Adapter – PCIe x8 10GbE adapter with dual RJ45 ports, perfect for redundant or aggregated high‑speed connections.

GigaPlus X540‑T2 10Gb Ethernet Adapter – Cost‑effective 10 GbE copper Ethernet PCIe card with a solid baseline of networking performance.

1 Port 10 Gigabit Ethernet Network Card - PCIe x4 10Gb 10GBASE‑T NIC – Single‑port 10GbE PCIe x4 adapter ideal for workstation and small server upgrades.

SYBA 10 Gigabit Ethernet Network Card – Reliable single‑port 10 GbE network adapter for desktops and servers.

🚀 Applications & Use Cases

✔ AI Compute & GPU Cluster Networking – High‑speed transfers between AI nodes and training clusters.
✔ Server & Data Center Backbones – Fast interconnects for storage, virtualization and cloud applications.
✔ GPU Workstation Network Acceleration – Efficient handling of large visualization, simulation and data science workloads.
✔ High‑Performance LAN Environments – Supports collaborative research, large file movements, backups and media streams.

📈 Why Choose GIGABYTE 10G LAN PCIe Adapters from MRObotAI

• Professional‑Grade Networking: Enterprise 10 GbE performance for mission‑critical workloads.
• Flexible Compatibility: Backward support for various Ethernet rates and existing cabling.
• Easy Upgrade Path: Simple PCIe card installation instantly enhances network throughput

The MROBOT AI Server Multi-GPU System powered by NVIDIA GeForce RTX 3090 and NVIDIA GeForce RTX 3080 GPUs delivers high-performance computing capabilities for artificial intelligence, deep learning, machine learning, and GPU-accelerated workloads. Designed for AI developers, research labs, data scientists, and enterprise computing environments, this system enables scalable GPU acceleration for complex AI training tasks.

Available from MRObotAI, the AI server supports multiple high-performance GPUs in a single system, enabling parallel processing for demanding workloads such as LLM training, computer vision, neural network development, scientific computing, and large dataset processing.

High-Performance Multi-GPU Architecture

The server can be configured with multiple RTX 3090 or RTX 3080 GPUs to deliver powerful compute capabilities for AI infrastructure.

NVIDIA GeForce RTX 3090

The NVIDIA GeForce RTX 3090 is a flagship GPU built on NVIDIA’s Ampere architecture with 10,496 CUDA cores and 24GB GDDR6X memory, offering extremely high compute throughput for deep learning and GPU computing workloads.

Key capabilities:
• 24GB GDDR6X VRAM
• 10,496 CUDA cores
• 936 GB/s memory bandwidth
• Advanced Tensor and Ray Tracing cores for AI workloads

NVIDIA GeForce RTX 3080

The NVIDIA GeForce RTX 3080 is a high-performance GPU featuring 8704 CUDA cores and GDDR6X memory, designed to deliver strong GPU acceleration for compute workloads, rendering, and AI applications.

Key capabilities:
• Up to 12GB GDDR6X memory
• 8704 CUDA cores
• PCIe Gen4 support
• Tensor cores for AI acceleration and DLSS support

Key Features

Multi-GPU AI Compute Architecture
Supports multiple GPUs to accelerate deep learning training, GPU rendering, and large-scale AI workloads.

CUDA & AI Framework Support
Compatible with major AI frameworks including:

• CUDA
• TensorFlow
• PyTorch
• RAPIDS
• OpenCL

Large High-Speed GPU Memory
High-bandwidth GDDR6X memory enables efficient processing of large AI models, datasets, and neural networks.

Scalable Server Platform
Supports high-core-count CPUs, large system memory capacity, NVMe storage, and high-speed networking options for AI clusters.

Optimized Thermal & Power Design
Designed for continuous high-load operation with efficient cooling architecture suitable for GPU training workloads.

Applications

• Artificial Intelligence Development
• Deep Learning Model Training
• Large Language Model (LLM) Training
• Data Science & Analytics
• Computer Vision & Image Processing
• Scientific Computing & Simulation
• GPU Rendering & Visualization

Why Choose MRObotAI

MRObotAI provides AI infrastructure solutions including GPU servers, deep learning workstations, and HPC computing systems designed for AI startups, research institutions, developers, and enterprise deployments.

✔ Custom AI server configuration
✔ Multi-GPU workstation builds
✔ GPU cluster deployment
✔ Enterprise AI infrastructure solutions

The COLORFUL RTX 4070 SUPER and COLORFUL RTX 4080 SUPER GPUs are next‑generation graphics cards built for AI workstations, deep learning, 3D rendering, and high-end gaming. Powered by NVIDIA’s latest Ampere architecture, these GPUs deliver outstanding performance with advanced ray tracing, AI-accelerated workflows, and high memory bandwidth, making them ideal for AI developers, researchers, and content creators.

These GPUs feature CUDA cores optimized for parallel computing, RT cores for real-time ray tracing, and Tensor cores for AI and machine learning tasks. With large GDDR6X memory, high memory bandwidth, and superior cooling solutions, COLORFUL RTX SUPER GPUs ensure stable performance under heavy workloads.

The RTX 4070 SUPER is ideal for AI model training, data analytics, and mid-to-high-end workstation setups, providing a perfect balance of performance and power efficiency. It supports high-resolution graphics, accelerated AI inference, and GPU-optimized compute tasks.

The RTX 4080 SUPER is a high-end GPU for AI research, 3D rendering, deep learning, and complex simulations. With significantly higher CUDA core count and memory bandwidth, it enables faster model training, improved rendering times, and advanced AI computations for professional workloads.

COLORFUL GPUs are designed with robust cooling systems, dual/ triple fan designs, and durable components, ensuring long-term reliability for intensive tasks. They support PCIe 4.0, NVIDIA DLSS, RTX features, and AI-enhanced computing frameworks such as TensorFlow and PyTorch.

Key Features

• NVIDIA Ampere Architecture with CUDA, RT, and Tensor Cores

• High-speed GDDR6X memory (12GB–16GB depending on model)

• PCIe 4.0 interface for high bandwidth and low latency

• Advanced cooling system with dual/triple fans and heat pipes

• AI acceleration for machine learning & deep learning workloads

• Real-time Ray Tracing & NVIDIA DLSS support

• Compatible with AI workstations, HPC setups, and gaming PCs

Applications

• Artificial Intelligence & Machine Learning Training

• Deep Learning Model Inference & Simulation

• 3D Rendering & CAD Applications

• High-End Gaming & Graphics-Intensive Tasks

• Video Editing & Post-Production Workflows

• Virtual Reality & Simulation Environments

Available From

MRObotAI – AI Workstation & GPU Solutions Provider

Custom configurations available with COLORFUL RTX 4070 SUPER / RTX 4080 SUPER GPUs for AI infrastructure, deep learning labs, and workstation setups.

The ASUS ESC4000 G4 GPU Server and ASUS ESC8000 G4 GPU Server are high-performance GPU accelerated server platforms designed for AI workloads, deep learning, machine learning, virtualization, and high-performance computing (HPC). These enterprise-grade systems deliver exceptional compute power using dual Intel Xeon scalable processors and multi-GPU architecture, making them ideal for AI workstations, data science labs, research institutions, and enterprise data centers.

The ESC4000 G4 is a 2U accelerator server designed to deliver powerful GPU computing in a compact rack form factor. It supports versatile GPU configurations, high-speed storage options, and enterprise-grade management features. The system supports up to 16 DIMM memory slots, NVMe storage architecture, and flexible expansion slots to integrate high-performance GPUs for demanding AI workloads.

The ESC8000 G4 is a 4U high-density GPU server built for advanced AI training, simulation, and HPC environments. It supports up to 8 GPU accelerators, dual Intel Xeon scalable processors, and up to 3TB DDR4 ECC memory across 24 DIMM slots. This architecture provides massive parallel computing power for deep learning frameworks, AI inference, and big data analytics.

These servers feature enterprise reliability with redundant power supplies, advanced cooling architecture, hot-swap drive bays, and remote management capabilities. The intelligent thermal design and optimized airflow ensure stable performance under heavy GPU workloads while maintaining power efficiency.

MRObotAI provides these GPU servers as custom AI workstation solutions, configurable with NVIDIA GPUs, high-capacity RAM, NVMe storage, and optimized networking for AI infrastructure deployment.

Key Features

• Dual Intel Xeon Scalable Processor support

• Up to 8 GPU accelerator cards (ESC8000 G4)

• Up to 3TB DDR4 ECC memory for large AI datasets

• High-speed NVMe and SSD storage options

• PCIe 3.0 expansion slots for GPU scalability

• Redundant 1600W Platinum power supplies

• Hot-swap drive bays for easy maintenance

• Integrated remote server management

• Optimized cooling and thermal monitoring

Applications

• Artificial Intelligence & Deep Learning

• Machine Learning Model Training

• Data Science & Big Data Analytics

• Virtual GPU Workstations (VDI)

• Scientific Simulation & HPC

• 3D Rendering & Visualization

• Autonomous Systems Research

Available From

MRObotAI – AI Workstation & GPU Server Solutions Provider

Custom configurations available with NVIDIA RTX / Tesla GPUs, high-capacity RAM, and NVMe storage tailored for enterprise AI deployments.

The Supermicro SYS-521E GPU Rack Server Platform / Supermicro SYS-721E GPU Rack Server Platform is a high-performance enterprise rackmount server designed for AI workloads, deep learning, machine learning, data analytics, and GPU-accelerated computing. Built on the latest Intel Xeon Scalable Processors (4th and 5th Generation) architecture, this platform delivers powerful compute performance, high memory bandwidth, and flexible GPU expansion for demanding workloads.

With support for advanced PCIe Gen5 GPU acceleration, high-capacity DDR5 memory, and NVMe storage options, this rack server platform is ideal for AI model training, inference workloads, virtualization, HPC environments, and enterprise data centers.

Offered by MRObotAI, this system can be configured as a custom AI workstation or GPU server with NVIDIA professional GPUs, enterprise SSD storage, and optimized cooling for continuous high-performance operation.

Key Features

• Supports Single Socket LGA-4677 architecture with Intel Xeon Scalable processors

• Up to 52 cores / 104 threads for high-performance computing workloads

• DDR5 ECC RDIMM memory support up to 2TB for large AI datasets and parallel processing

• PCIe Gen5 GPU support for AI acceleration and deep learning workloads

• Supports 1 double-width or 2 single-width professional GPUs

• 8 hot-swap 3.5" drive bays with NVMe / SATA / SAS storage support

• Integrated IPMI remote management with KVM-over-LAN for enterprise monitoring

• Redundant Titanium-level power supplies for maximum uptime and reliability

• High-efficiency cooling optimized for GPU-accelerated workloads

Typical GPU Options

This AI server platform supports professional GPUs such as:

• NVIDIA RTX A6000

• NVIDIA RTX A5000

• NVIDIA RTX A4500

• NVIDIA RTX A4000

• NVIDIA RTX A2000

Custom GPU configurations are available depending on workload requirements.

Technical Specifications

Form Factor:
2U Rackmount GPU Server

Processor Support:
Single Intel Xeon Scalable Processor (4th / 5th Generation)

Chipset:
Intel C741

Memory:
Up to 2TB DDR5 ECC RDIMM

GPU Support:
Up to 1 double-width or 2 single-width PCIe GPUs

Storage:

• 8 × Hot-swap 3.5" SATA / SAS / NVMe drive bays

• Optional NVMe hybrid configuration

Networking:

• Dual 1GbE LAN ports

• Dedicated IPMI management port

Power Supply:
Redundant Titanium-level power supply modules

Management:
IPMI 2.0 with remote KVM and monitoring

Applications

• Artificial Intelligence (AI) Development

• Machine Learning & Deep Learning

• GPU Rendering & Simulation

• Data Science & Analytics

• High Performance Computing (HPC)

• Cloud & Virtualization Infrastructure

• Research & Engineering Workloads

Why Buy From MRObotAI?

• Custom AI workstation & GPU server configurations

• Enterprise-grade hardware sourcing

• Support for NVIDIA AI / CUDA GPU deployments

• Ready-to-deploy AI infrastructure solutions

• Technical consultation for LLM, AI training, and HPC clusters

✔ Available for supply across India via IndiaMART
✔ Custom configuration options available

Enhance your AI workstation, deep learning system, and GPU computing infrastructure with high-performance INNO3D graphics cards powered by NVIDIA’s advanced Ada Lovelace architecture. The INNO3D GeForce RTX 4070 SUPER Twin X2 12GB Graphics Card and INNO3D GeForce RTX 4080 SUPER X3 Graphics Card deliver powerful GPU acceleration for artificial intelligence, machine learning, data analytics, rendering, and high-performance computing workloads.

These GPUs are designed for AI developers, research institutions, data scientists, and enterprises building scalable AI workstations and GPU servers. With dedicated Tensor Cores, Ray Tracing Cores, and high-speed GDDR6X memory, the RTX 40-series GPUs provide exceptional compute capabilities for modern GPU-accelerated applications.

Available INNO3D GPU Models INNO3D RTX 4070 SUPER

The RTX 4070 SUPER is a high-efficiency GPU suitable for AI development, deep learning inference, rendering, and GPU computing. It features 7168 CUDA cores and 12GB GDDR6X memory, delivering strong performance for GPU-accelerated workloads.

Key highlights:
• 7168 CUDA cores
• 12GB GDDR6X memory
• 504 GB/s memory bandwidth
• PCIe 4.0 x16 interface
• Support for DLSS 3 and real-time ray tracing

INNO3D RTX 4080 SUPER

The RTX 4080 SUPER is a high-end GPU designed for AI training workloads, large datasets, rendering, and advanced computing tasks. It includes 10,240 CUDA cores and 16GB GDDR6X memory for powerful parallel processing.

Key highlights:
• 10,240 CUDA cores
• 16GB GDDR6X memory
• 736 GB/s memory bandwidth
• 3rd-generation ray tracing cores
• 4th-generation Tensor cores for AI acceleration

Key Features

NVIDIA Ada Lovelace Architecture
The RTX 40-series GPUs are built on NVIDIA’s advanced architecture delivering higher efficiency, improved ray tracing performance, and powerful AI acceleration.

AI-Accelerated Tensor Cores
Dedicated Tensor cores accelerate machine learning operations, neural network training, and AI inference tasks.

High-Speed GDDR6X Memory
Large VRAM capacity and high memory bandwidth enable efficient processing of large datasets, LLM models, and complex compute workloads.

DLSS 3 AI Upscaling
Supports NVIDIA DLSS 3 technology which uses AI to increase performance and rendering quality in GPU-accelerated applications.

Multi-Display & High Resolution Support
Supports HDMI 2.1a and DisplayPort connectivity with maximum digital resolution up to 7680 × 4320 for advanced workstation setups.

Applications

• Artificial Intelligence & Machine Learning
• Deep Learning Model Training & Inference
• GPU Workstations & AI Servers
• Data Science & Analytics
• 3D Rendering & Visualization
• Scientific Computing & Simulation
• Video Processing & Media Production

Why Choose MRObotAI

MRObotAI provides AI workstation components, GPU servers, and enterprise AI infrastructure solutions designed for AI startups, research labs, developers, and enterprises.

✔ GPU workstation configuration
✔ AI server deployment
✔ Bulk GPU supply
✔ Enterprise AI infrastructure solutions

Upgrade your AI workstation, GPU server, and deep learning infrastructure with high-performance INNO3D NVIDIA RTX series graphics cards available through MRObotAI. These GPUs deliver powerful parallel processing capabilities for machine learning, artificial intelligence, data analytics, rendering, and scientific computing workloads.

Built on NVIDIA Ampere and Ada Lovelace architectures, INNO3D RTX GPUs provide advanced CUDA cores, Tensor Cores for AI acceleration, Ray Tracing Cores, and high-speed GDDR6 memory, enabling fast and efficient GPU-accelerated computing across modern AI frameworks.

Available INNO3D RTX GPU Models INNO3D RTX 3050 GPU

The RTX 3050 is an efficient entry-level GPU suitable for AI development, lightweight deep learning models, GPU virtualization, and workstation acceleration. It includes 2560 CUDA cores and 8GB GDDR6 memory, delivering reliable performance for GPU-accelerated workloads.

INNO3D RTX 3060 GPU

A widely used GPU for AI research and GPU workstations, the RTX 3060 offers 12GB GDDR6 memory and powerful CUDA processing capability, making it suitable for neural network training, dataset processing, and GPU computing tasks.

INNO3D RTX 4060 GPU

Based on the latest architecture, the RTX 4060 provides improved efficiency and performance with 3072 CUDA cores, 8GB GDDR6 memory, and support for DLSS 3 and advanced AI processing technologies.

Key Features

NVIDIA RTX Architecture
Powered by NVIDIA RTX architecture with Tensor Cores for AI acceleration and Ray Tracing Cores, enabling realistic rendering and fast compute performance.

High-Speed GDDR6 Memory
Optimized memory bandwidth allows efficient processing of large datasets, AI models, and GPU-intensive applications.

CUDA Parallel Processing
Thousands of CUDA cores deliver high parallel computing performance for AI frameworks such as TensorFlow, PyTorch, CUDA, and RAPIDS.

Advanced Cooling System
INNO3D GPUs feature optimized heatsinks and dual-fan cooling designs that maintain stable performance during continuous workloads.

Modern Connectivity & Display Support
Supports HDMI 2.1 and DisplayPort connectivity with maximum digital resolutions up to 7680×4320, suitable for multi-monitor professional workstations.

Applications

• Artificial Intelligence & Machine Learning
• Deep Learning Model Training & Inference
• GPU Workstations & AI Servers
• Data Science & Analytics
• Scientific Computing & Simulation
• 3D Rendering, Visualization & Video Processing

Why Buy from MRObotAI

MRObotAI provides enterprise AI workstation components, GPU servers, and high-performance computing solutions designed for startups, research institutions, AI developers, and enterprises.

We offer bulk GPU supply, workstation configuration, and system integration support for scalable AI infrastructure.

ZOTAC RTX 3050 GPU
An efficient entry-level GPU suitable for entry AI workloads, GPU acceleration, and development environments. The card features GDDR6 memory, ray tracing cores, and supports modern APIs including DirectX 12 Ultimate and Vulkan.

ZOTAC RTX 3060 GPU
A popular GPU for AI research and GPU workstations due to its 12GB GDDR6 VRAM and 3584 CUDA cores, enabling improved handling of large datasets and deep learning models.

ZOTAC RTX 4060 GPU
Built on the newer architecture with 3072 CUDA cores and 8GB GDDR6 memory, delivering improved performance efficiency, DLSS acceleration, and advanced AI processing capabilities.

Key Features

✔ NVIDIA RTX Architecture – Includes dedicated Tensor Cores for AI acceleration and Ray Tracing Cores for realistic rendering and compute workloads.

✔ High CUDA Core Count – RTX GPUs provide thousands of CUDA cores enabling parallel processing for AI, deep learning, and scientific computing tasks.

✔ GDDR6 High-Speed Memory – Optimized memory bandwidth ensures efficient handling of large AI datasets and complex workloads.

✔ Multi-Display Support – Supports multiple monitors through DisplayPort and HDMI connectivity for professional workstations.

✔ Efficient Cooling Design – ZOTAC GPUs feature dual-fan cooling systems, heatsinks, and intelligent fan control for stable long-duration operation.

Typical Applications

• Artificial Intelligence & Machine Learning
• GPU Workstations and AI Development Systems
• Deep Learning Model Training & Inference
• Data Analytics and Scientific Computing
• 3D Rendering, Visualization & Simulation
• GPU Accelerated Applications (CUDA / TensorFlow / PyTorch)

Why Buy from MRObotAI

MRObotAI supplies AI workstation components, GPU servers, and enterprise hardware for research labs, AI startups, universities, and enterprises. Our solutions are designed for high-performance AI computing, scalable GPU clusters, and professional development environments.

Available with bulk supply, system integration, and workstation configuration support.

The GIGABYTE G492 and G292 AI Server Platforms are enterprise-grade GPU computing solutions designed for artificial intelligence training, deep learning workloads, high-performance computing (HPC), and large-scale GPU acceleration. These advanced servers support multiple GPUs and powerful multi-core processors, making them ideal for AI research labs, data centers, enterprises, and AI startups.

Available through MRObotAI, these GPU servers provide scalable architecture, high memory capacity, and high-bandwidth PCIe connectivity, enabling efficient execution of GPU-accelerated applications including machine learning, neural networks, scientific computing, and AI inference.

Available Platforms Gigabyte G492 AI Server Platform

The G492 series is a 4U high-performance AI server platform designed for large-scale AI training workloads. It supports advanced GPU interconnect technologies and high-density GPU configurations.

Key highlights include:

• Support for 8 NVIDIA HGX GPUs with NVLink/NVSwitch connectivity
• Dual AMD EPYC 7003 processors
• Up to 32 DIMM slots for DDR4 memory
• High-bandwidth GPU-to-GPU communication up to 600 GB/s
• Liquid-cooling support for CPU and GPU configurations
• Multiple PCIe Gen4 expansion slots for networking and storage

This platform is commonly used for AI model training, LLM training clusters, and data center GPU infrastructure.

Gigabyte G292 AI Server Platform

The G292 series is a 2U GPU server platform designed for GPU-dense computing environments requiring powerful processing within a compact rack form factor.

Key specifications include:

• Support for up to 8 dual-slot GPUs or 16 single-slot GPUs
• Dual 3rd Gen Intel Xeon Scalable processors or AMD EPYC processors depending on configuration
• Up to 24 DDR4 DIMM slots with 3200 MT/s memory support
• High-speed PCIe Gen4 connectivity for GPUs
• Hot-swappable NVMe/SATA storage bays
• Redundant 3200W 80+ Platinum power supplies

This platform is optimized for AI inference clusters, GPU virtualization, AI research workloads, and HPC computing environments.

Key Features

High GPU Density
Supports multiple GPUs such as NVIDIA data center GPUs or AI accelerators for scalable compute performance.

Powerful Multi-Core CPUs
Compatible with Intel Xeon Scalable or AMD EPYC processors, providing hundreds of processing threads for CPU-intensive workloads.

Large Memory Capacity
Supports high-capacity DDR4 RDIMM/LRDIMM memory, allowing large AI models and datasets to be processed efficiently.

High-Speed Networking
Integrated 10GbE networking and optional high-bandwidth interconnects enable fast data transfer between AI nodes and storage systems.

Enterprise Reliability
Designed for data center deployment with redundant power supplies, hot-swap storage, and remote management controllers.

Applications

• Artificial Intelligence Model Training
• Large Language Model (LLM) Training
• Deep Learning & Neural Network Research
• High-Performance Computing (HPC)
• Data Science & Big Data Analytics
• GPU Rendering & Visualization
• Cloud AI Infrastructure

Why Choose MRObotAI

MRObotAI provides enterprise AI infrastructure solutions, including:

✔ AI GPU servers
✔ Deep learning workstations
✔ GPU clusters and HPC systems
✔ Custom AI server configuration

Our solutions are designed for AI developers, research institutions, startups, and enterprise data centers

High‑Density GPU‑Accelerated AI & HPC Server Systems – The ASUS ESC8000A and ESC4000A AI GPU Servers available on MRObotAI are cutting‑edge rackmount platforms engineered for artificial intelligence (AI) training and inference, high‑performance computing (HPC), deep learning, virtualization, data analytics, and enterprise‑level GPU acceleration. Designed for modern data centers and AI infrastructures, these systems deliver exceptional performance, expandability, reliability, and scalability for demanding workloads.

🚀 Enterprise‑Grade Architecture

🔹 ESC8000A Series (4U Rack Server) – A robust high‑density system with dual AMD EPYC™ 9004/9005 processors, up to 8 dual‑slot GPUs, multiple PCIe Gen5 slots, and redundant high‑efficiency power supplies. This server supports cutting‑edge GPU configurations such as NVIDIA® A100, H200, or RTX PRO cards and provides the thermal and power infrastructure needed for intensive AI training and inference jobs at scale.

🔹 ESC4000A Series (2U Rack Server) – A versatile 2U AI and HPC server powered by AMD EPYC™ 9004/9005 processors, supporting up to 4 dual‑slot GPUs, advanced memory bandwidth and PCIe Gen5 expansion, and flexible networking options including OCP 3.0 modules. Ideal for data centers, edge AI deployments, and GPU‑accelerated virtualization environments.

💡 Key Features & Benefits

🧠 Powerful Compute for AI & HPC:
• Built for massive parallel processing with multi‑GPU support for AI model training, inference, and large‑scale HPC workflows.
• Up to eight GPU slots in the ESC8000A and up to four in the ESC4000A, enabling high‑performance AI clusters and accelerated compute deployments.

⚡ Latest Memory & I/O Technologies:
• Support for high‑capacity DDR5 memory, enabling fast data access and improved throughput for data‑intensive tasks.
• PCIe Gen5 infrastructure delivers ultra‑high bandwidth connectivity for GPUs, networking and storage components.

🔌 Scalable Expansion & Storage:
• Multiple hot‑swappable drive bays, NVMe/SATA/SAS support and flexible PCIe slots provide extensive expansion capability to meet evolving AI and data workloads.
• Optional high‑speed networking modules including OCP 3.0 and advanced NIC/DPU support allow integration into modern data center environments.

🛡️ Enterprise Reliability & Management:
• Redundant Titanium‑level power supplies, intelligent thermal design, and optimized airflow ensure sustained high performance under continuous workloads.
• Integrated remote management with ASUS ASMB11‑iKVM and ASUS Control Center for efficient admin control and monitoring.

📈 Ideal Use Cases

✔ AI & Deep Learning Model Training
✔ Large Language Model (LLM) Inference
✔ HPC & Scientific Simulations
✔ GPU‑Accelerated Virtualization & VDI
✔ High‑Throughput Data Analytics
✔ Scalable Multi‑Node GPU Clusters

🌟 Why Choose ASUS AI GPU Servers from MRObotAI?

ASUS ESC8000A and ESC4000A GPU servers are engineered to deliver industry‑leading GPU performance, robust scalability and enterprise‑grade reliability necessary for modern AI, machine learning and high‑performance computing environments. Their high‑density GPU support, next‑generation memory and interconnect technologies, and extensive expansion options make them ideal for data centers, research labs, cloud infrastructures, and high‑end enterprise workloads seeking optimal performance and long‑term scalability.

Supermicro SYS‑420GP and SYS‑820GP AI Server Racks from MRObotAI are ultra‑high‑performance rackmount GPU infrastructures engineered for AI, deep learning training, high‑performance computing (HPC), virtualization and data‑intensive enterprise workloads. Optimized for modern GPU‑accelerated environments, these systems deliver exceptional compute density, scalability, and reliability required by AI research, machine learning, cloud services, and HPC clusters.

🔹 Dual Socket Powerhouse Architecture – Both systems are built on dual Intel® Xeon® Scalable processor platforms supporting 3rd Generation Intel Xeon CPUs with up to 40 cores per socket, delivering massive multi‑threaded compute performance for complex workloads.

🔹 Massive Memory & Storage Capacity – Featuring up to 32 DIMM slots with support for up to 8 TB ECC DDR4 memory, and optional Intel® Optane™ persistent memory support, these servers provide abundant memory bandwidth for large datasets, neural networks and in‑memory analytics. Storage flexes for heavy workloads with hot‑swap 2.5″ NVMe/SATA/SAS drive bays and multiple M.2 slots for high‑speed local storage.

🔹 Extreme GPU Scalability & Density
• SYS‑420GP — Supports up to 10 double‑width GPUs via PCIe Gen4 x16 FHFL slots, enabling massive GPU‑accelerated training and inference clusters.
• SYS‑820GP — Industrial‑grade 8U rack system supporting up to 8 double‑width GPUs with PCIe Gen4 and optional NVIDIA® NVLink™ interconnect for enhanced GPU‑to‑GPU communication.

These configurations make them ideal for AI model training, large‑scale simulations, GPU cloud nodes, virtualization and other GPU‑heavy use cases.

🚀 Optimized for AI & HPC Workloads – Supermicro GPU servers are purpose‑built for AI/ML frameworks (TensorFlow, PyTorch, MXNet), GPU‑accelerated HPC applications, and visual computing. With PCIe Gen4 support, high‑speed interconnect options including AIOM/OCP 3.0 networking and ample PCIe slots, these racks maximize throughput and scalability.

🛡️ Enterprise‑Grade Reliability & Redundancy – Industry‑leading design includes multiple redundant high‑efficiency power supplies (Titanium or better) and heavy‑duty hot‑swap cooling fans for constant thermal management under full GPU load. On‑board features such as IPMI/BMC remote management, hot‑swap storage, and advanced chassis monitoring enable efficient server administration and reduced downtime.

🔌 Flexible Networking & Expansion – With support for OCP 3.0 / AIOM networking modules, 10/25/100/200 GbE options, and extra PCIe slots for additional adapters, these servers provide future‑ready connectivity to integrate into modern data center networks and GPU clusters.

📈 Key Use Cases:
✔ AI Model Training & Deep Learning Acceleration
✔ High‑Performance Compute (HPC) & Data Science Workloads
✔ GPU‑Accelerated Virtualization & VDI
✔ Large‑Scale Parallel GPU Computing
✔ Cloud & Research Data Center Deployments

Why choose Supermicro SYS‑420GP & SYS‑820GP from MRObotAI?
These GPU‑optimized server racks combine massive processing power, GPU scalability and enterprise reliability to deliver industry‑leading performance for AI and compute clusters. Built with modular expandability, robust thermal design and flexible storage/network options, they are ideal for data centers, AI research labs, cloud infrastructures and high‑end machine learning deployments.

Supercharge Your AI Workstations, Deep Learning Servers & High‑Performance Compute Clusters with AMD Instinct MI60 and MI50 Server GPU Accelerators — purpose‑built for data centers, AI research, machine learning workloads, and demanding HPC (High Performance Computing) applications. These enterprise‑grade GPUs combine massive parallel compute power, ultra‑fast memory bandwidth, and advanced interconnect technology to deliver leading performance and scalability.

🔹 Enterprise‑Class GPU Architecture – Built on AMD’s 7 nm Vega architecture, the MI60 and MI50 are among the first data‑center GPUs optimized for accelerated computing, AI model training and inference, advanced simulations, and deep learning workflows in AI server environments.

🧠 Massive Compute Performance –
• MI60: Up to ~29.5 TFLOPS (FP16), ~14.7 TFLOPS (FP32), ~7.4 TFLOPS (FP64) compute performance with 32 GB HBM2 ECC memory and ultra‑wide memory bandwidth (~1 TB/s).
• MI50: Offers up to ~26.8 TFLOPS (FP16), ~13.4 TFLOPS (FP32), ~6.7 TFLOPS (FP64) with 16 GB HBM2 ECC memory, delivering excellent performance for mixed‑precision AI and compute workloads.

⚡ High‑Speed HBM2 Memory & Bandwidth – Both GPUs leverage high‑bandwidth HBM2 memory with over 1 TB/s memory throughput, ensuring rapid data delivery for large datasets, neural networks and complex simulations — critical for efficient AI and HPC processing.

🔗 Next‑Gen Interconnect & Scalability – Featuring PCIe 4.0 x16 support and AMD Infinity Fabric™ Link technology, these cards enable peer‑to‑peer connections with multi‑GPU bandwidth up to hundreds of GB/s — dramatically improving multi‑GPU communication speeds and scalability in server clusters and parallel workloads.

🧠 Mixed‑Precision Support & Deep Learning – Flexible support for mixed‑precision compute (including FP16, FP32, INT8) makes these accelerators ideal for deep learning training and inference tasks, enabling faster throughput and optimized performance per watt for AI research and production environments.

🔒 Enterprise Reliability & ECC Memory – Full‑chip ECC memory and enterprise‑level reliability, accessibility and serviceability (RAS) features ensure data integrity and error‑free operation during mission‑critical workloads — essential for server, cloud, scientific and AI computations.

📈 Ideal For:
✔ AI Training & Inference Servers
✔ High‑Performance Compute (HPC) Workloads
✔ Deep Learning & Neural Network Workflows
✔ Data Center GPU Clusters
✔ Scalable Multi‑GPU Parallel Processing
✔ Cloud & Virtualized Compute Environments

Why Choose AMD Instinct MI60 & MI50 from MRObotAI?
These GPU accelerators combine cutting‑edge compute power, advanced memory bandwidth and robust interconnect technologies to tackle demanding AI, machine learning, HPC, and data-­intensive workloads. Whether you are building large‑scale server clusters, dedicated AI research systems or GPU‑accelerated cloud environments, the AMD Instinct MI60 and MI50 deliver scalable, efficient and dependable performance for professional workloads

Boost GPU Performance & Achieve Superior Thermal Efficiency with ASUS Liquid‑Cooled RTX Series GPU Cooling Solutions

Introducing the ASUS liquid‑cooled RTX series graphics card, engineered to deliver exceptional performance, ultra‑quiet cooling and stable thermal management even under intense AI, gaming, rendering, or computational workloads. These advanced liquid‑cooled GPUs are ideal for high‑end workstations, deep learning rigs, AI compute servers and elite gaming PCs where premium cooling and thermal headroom are essential.

Product Highlights & Features:

🔥 Advanced Liquid Cooling System – Built‑in liquid cooling with full‑coverage cold plates that directly contact the GPU die and memory modules dramatically improves heat dissipation compared to traditional air cooling designs. This ensures significantly lower operating temperatures and sustained performance under heavy loads.

🌀 High‑Efficiency Radiator Setup – Each unit pairs GPU cores with a large 240 mm or 360 mm radiator cooled by high airflow ARGB fans, achieving superior thermal transfer and quieter operation for demanding RTX workloads.

⚙️ Integrated Pump & Blower Assembly – Optimized design combines an efficient pump system with a blower‑style fan and low‑profile heatsinks to maintain steady cooling while reducing noise and extending component lifespan.

🧠 Full‑Coverage Cold Plate – Precision‑machined cold plates provide direct contact with key thermal points on the GPU PCB, including the GPU processor and GDDR memory, for efficient cooling and reduced thermal throttling.

🎮 Ideal for RTX Series GPUs – Compatible with top‑tier NVIDIA RTX cards such as the RTX 30/40/50 series, ensuring the GPUs can unlock their full performance potential without thermal limitations.

🌟 Quiet & Reliable Operation – Liquid cooling enables significantly quieter performance compared to traditional cooling, allowing heavier workloads without noisy fan operation and keeping your system acoustics optimized.

📈 Enhanced AI Workstation & Gaming Performance – Lower temperatures help maintain higher clock speeds and offer better stability during GPU‑intensive tasks including AI training, rendering, 8K gaming, and professional creative workflows.

🔧 Build & Compatibility – Designed to fit standard EATX and ATX chassis with flexible tubing options and simplified installation. Perfect choice for custom workstation builds or GPU‑accelerated server environments.

💡 Premium Thermal Management – Offers improved thermal performance over air‑cooled cards with robust heat dissipation, preventing thermal throttling and ensuring long‑term reliability under heavy workloads.

Why Choose ASUS Liquid Cooled RTX Series GPU from MRObotAI?
These ASUS liquid‑cooled solutions combine cutting‑edge GPU cooling technology with reliable hardware design, giving you thermal efficiency, stability, and maximum performance headroom. Whether you are building AI workstations, GPU farms, or high‑end gaming PCs, this liquid‑cooled solution provides unmatched thermal control and operational reliability — ideal for power users and professional environments.

The Intel ARC A770 and A750 Mining GPU Series are specialized graphics cards designed for cryptocurrency mining, AI compute workloads, and GPU-intensive tasks. Built on Intel’s Alchemist architecture, these GPUs deliver high hash rates, optimized power efficiency, and robust thermal performance, making them ideal for professional mining rigs and multi-GPU setups.

• ARC A770 Mining GPU: High-performance model optimized for large-scale cryptocurrency mining operations, delivering maximum hash rates for supported coins and efficient power usage.

• ARC A750 Mining GPU: Balanced mining GPU ideal for mid-to-high-end mining rigs, combining stable performance with energy-efficient operation.

These Intel mining GPUs feature dedicated mining optimizations, advanced cooling solutions, and durable components, ensuring reliable 24/7 performance under continuous mining workloads. They are compatible with popular mining software, providing flexibility and maximum profitability for industrial and home mining setups.

MRObotAI supplies these GPUs as part of custom mining rigs and multi-GPU configurations, integrated with high-efficiency power supplies and optimized thermal management for professional mining and GPU-accelerated AI workloads.

Key Features

• Intel ARC Alchemist architecture for mining and GPU compute

• Models: A770, A750 Mining GPU Series

• Optimized hash rate for Ethereum and supported cryptocurrencies

• Energy-efficient design for 24/7 mining operations

• Advanced cooling system for stable performance under heavy load

• Compatible with mining software and multi-GPU setups

• Durable, industrial-grade components for long-term reliability

Applications

• Cryptocurrency Mining: Ethereum, Bitcoin alternatives, and other coins

• Multi-GPU Mining Rigs for Professional & Industrial Mining

• AI Compute & GPU-Accelerated Workstations

• High-Efficiency Energy-Saving Mining Deployments

• GPU Compute for Deep Learning Research & AI Workstations

Available From

MRObotAI – AI Workstation, GPU, and Mining Solutions Provider

Custom configurations available with Intel ARC A770 / A750 Mining GPUs for professional mining rigs, industrial mining farms, and AI GPU compute setups.

The AMD RX 580, RX 570, and RX 560 GPUs are high-performance graphics cards designed for cryptocurrency mining, AI compute workloads, and GPU-intensive applications. Built on AMD’s Polaris architecture, these GPUs deliver efficient hash rates, reliable performance, and optimized power consumption, making them ideal for mining rigs and GPU compute setups.

• RX 580: High-end mining GPU delivering maximum hash rates for Ethereum and other cryptocurrencies, suitable for professional mining rigs and multi-GPU setups.

• RX 570: Balanced mining GPU optimized for mid-range mining operations, offering a strong combination of performance and energy efficiency.

• RX 560: Entry-level mining GPU ideal for smaller mining setups, providing stable hash rates and cost-efficient power consumption.

These AMD GPUs feature robust thermal design, advanced cooling solutions, and durable components, ensuring continuous 24/7 operation under heavy mining workloads. They are compatible with popular mining software such as PhoenixMiner, Claymore, and LOLMiner, enabling maximum mining efficiency and profitability.

MRObotAI offers these GPUs as part of custom mining rigs, AI compute setups, and multi-GPU configurations, with optimized power supply integration and cooling solutions for professional mining operations.

Key Features

• AMD RX series mining GPUs: RX 580, RX 570, RX 560

• Efficient cryptocurrency mining with high hash rates

• Polaris architecture for stable and optimized performance

• Robust cooling system for long-duration workloads

• Low power consumption for energy-efficient mining

• Compatible with mining software: PhoenixMiner, Claymore, LOLMiner

• Multi-GPU support for mining farms and AI compute rigs

Applications

• Cryptocurrency Mining: Ethereum, Bitcoin alternatives, and other coins

• Multi-GPU Mining Rigs for Professional & Industrial Mining

• AI Compute & GPU-Accelerated Workloads

• Energy-Efficient Mining Setups

• GPU Compute for AI Workstations & Research

Available From

MRObotAI – AI Workstation, GPU, and Mining Solutions Provider

Custom configurations available with AMD RX 580, RX 570, and RX 560 GPUs for professional mining rigs, industrial mining farms, and GPU compute setups

The NVIDIA CMP 90HX, CMP 70HX, and CMP 50HX GPUs are specialized graphics cards designed exclusively for cryptocurrency mining and professional mining operations. Engineered for efficiency, these GPUs provide high hash rates, optimized power consumption, and enhanced thermal management, making them ideal for large-scale mining farms and industrial mining setups.

• CMP 90HX: Top-tier mining GPU delivering maximum hash rate for Ethereum and other supported cryptocurrencies, designed for high-performance mining rigs.

• CMP 70HX: Balanced mining GPU optimized for mid-to-high-end mining operations, offering excellent power efficiency and stable performance.

• CMP 50HX: Entry-to-mid-level mining GPU for smaller mining setups, providing reliable performance and energy efficiency for sustained mining workloads.

These NVIDIA CMP GPUs are built without display outputs, focusing entirely on hash rate performance and power efficiency, ensuring stable operation under continuous 24/7 mining workloads. They support NVIDIA’s mining-specific drivers and software optimization, maximizing profitability and hardware longevity.

MRObotAI supplies these GPUs as part of custom mining rigs and professional mining setups, with options for multi-GPU configurations, optimized cooling, and high-efficiency power supply integration, ideal for cryptocurrency mining farms.

Key Features

• NVIDIA CMP HX series GPUs: 90HX, 70HX, 50HX

• Designed exclusively for cryptocurrency mining

• High hash rates for Ethereum and supported cryptocurrencies

• Optimized power consumption for maximum efficiency

• Advanced cooling solutions for 24/7 mining operation

• No display output; dedicated mining hardware

• Compatible with NVIDIA mining drivers and software

• Multi-GPU support for professional mining rigs

Applications

• Cryptocurrency Mining (Ethereum, Bitcoin alternatives, other coins)

• Multi-GPU Mining Rigs for Professional Mining Farms

• AI-Optimized Mining Workstations for High Efficiency

• Industrial & Enterprise Mining Setups

• Energy-Efficient Mining Deployments

Available From

MRObotAI – AI Workstation, GPU, and Mining Solutions Provider

Custom configurations available with NVIDIA CMP 90HX, CMP 70HX, and CMP 50HX GPUs for professional mining rigs, industrial mining farms, and high-efficiency cryptocurrency mining operations

The MRObot OEM RTX 2080 and RTX 2070 compatible GPUs are high-performance graphics cards designed for AI workstations, deep learning, machine learning, GPU servers, and 3D rendering applications. Built to be fully compatible with NVIDIA RTX 2080 and RTX 2070 standards, these OEM GPUs deliver CUDA cores, Tensor cores, and real-time ray tracing for professional AI workloads and high-end graphics computing.

• RTX 2080 Compatible: High-performance GPU optimized for deep learning model training, AI inference, HPC workloads, and 4K/8K rendering.

• RTX 2070 Compatible: Balanced GPU suitable for AI research, GPU-accelerated tasks, professional rendering, and high-end gaming.

These MRObot OEM GPUs feature efficient thermal designs, robust cooling, and reliable components, ensuring stable operation during prolonged workloads. They are compatible with CUDA-enabled AI frameworks like TensorFlow, PyTorch, and Keras, as well as GPU-accelerated applications for AI research, simulation, and 3D visualization.

MRObotAI supplies these GPUs as part of custom AI workstation and GPU server solutions, supporting multi-GPU setups, high-speed storage, and optimized memory for deep learning, AI research, and GPU-intensive computing.

Key Features

• MRObot OEM compatible with NVIDIA RTX 2080 and RTX 2070

• CUDA cores, Tensor cores, and real-time ray tracing for AI acceleration

• High-speed GDDR6 memory (6GB–8GB depending on model)

• PCIe 3.0 interface for high-bandwidth GPU compute

• Efficient cooling for stable performance under heavy workloads

• Compatible with AI frameworks: TensorFlow, PyTorch, Keras

• Ideal for AI workstations, HPC, GPU servers, and professional rendering

Applications

• AI & Deep Learning Model Training & Inference

• GPU-Accelerated AI Workstations

• Machine Learning Research & HPC Workloads

• 3D Rendering, CAD & Graphics Workstations

• High-End Gaming & Multimedia Applications

• Virtual Reality & Simulation

Available From

MRObotAI – AI Workstation & GPU Solutions Provider

Custom configurations available with MRObot OEM RTX 2080 and RTX 2070 compatible GPUs for AI research labs, deep learning setups, GPU workstation builds, and professional rendering systems.

The INNO3D RTX 2080, RTX 2070, and RTX 2060 GPUs are high-performance graphics cards built for AI workstations, deep learning, machine learning, 3D rendering, and high-end gaming. Utilizing NVIDIA’s Turing architecture, these GPUs provide CUDA cores, Tensor cores, and real-time ray tracing capabilities, making them ideal for both AI workloads and professional graphics applications.

• RTX 2080: Flagship GPU delivering top-tier performance for deep learning model training, AI inference, GPU-accelerated computing, and 4K graphics rendering.

• RTX 2070: High-performance GPU suitable for AI research, 3D rendering, and GPU-intensive workloads.

• RTX 2060: Cost-efficient GPU for entry-to-mid-level AI workloads, AI inference, and workstation tasks, offering reliable performance with lower power consumption.

INNO3D GPUs feature advanced thermal designs, efficient cooling, and durable components, ensuring stable operation during prolonged GPU-intensive workloads. They are compatible with CUDA-enabled AI frameworks such as TensorFlow, PyTorch, and Keras, as well as professional graphics, visualization, and rendering software.

MRObotAI offers these GPUs as part of custom AI workstation and GPU server builds, supporting multi-GPU configurations, high-speed NVMe storage, and optimized memory for deep learning, AI research, and 3D visualization workflows.

Key Features

• NVIDIA Turing Architecture with CUDA, Tensor, and RT cores

• Models: RTX 2080, RTX 2070, RTX 2060

• High-speed GDDR6 memory (6GB–8GB depending on model)

• Real-time Ray Tracing & AI acceleration

• PCIe 3.0 interface for high-bandwidth GPU compute

• Efficient cooling design for stable, long-duration workloads

• Compatible with AI frameworks: TensorFlow, PyTorch, Keras

• Suitable for AI workstations, HPC, 3D rendering, and gaming PCs

Applications

• AI & Deep Learning Model Training & Inference

• GPU-Accelerated AI Workstations

• Machine Learning Research & HPC Workloads

• 3D Rendering, CAD & Graphics Workstations

• High-End Gaming & Multimedia Applications

• Virtual Reality & Simulation Tasks

Available From

MRObotAI – AI Workstation & GPU Solutions Provider

Custom configurations available with INNO3D RTX 2080, RTX 2070, and RTX 2060 GPUs for AI research labs, deep learning setups, GPU workstation builds, and professional rendering systems.

The COLORFUL RTX 2080, RTX 2070, and RTX 2060 GPUs are high-performance graphics cards designed for AI workstations, deep learning, machine learning, 3D rendering, and gaming PCs. Built on NVIDIA’s Turing architecture, these GPUs offer CUDA cores for AI computation, real-time ray tracing, and high-speed parallel processing, making them ideal for both professional AI workloads and high-end gaming applications.

• RTX 2080: Flagship GPU delivering maximum performance for AI model training, deep learning inference, GPU compute tasks, and 4K gaming.

• RTX 2070: High-performance GPU suitable for AI research, 3D rendering, and GPU-accelerated compute.

• RTX 2060: Cost-effective GPU for entry-to-mid-level AI workloads, workstation setups, and gaming, offering efficient performance with lower power consumption.

COLORFUL GPUs feature advanced cooling solutions, durable components, and low-noise fans, ensuring stable operation under extended GPU-intensive workloads. They are compatible with CUDA-enabled AI frameworks such as TensorFlow, PyTorch, and Keras, as well as professional graphics and rendering software.

MRObotAI provides these GPUs as part of custom AI workstation and GPU server solutions, allowing multi-GPU configurations, high-speed storage, and optimized memory for deep learning, AI research, and 3D visualization workflows.

Key Features

• NVIDIA Turing Architecture with CUDA, RT, and Tensor cores

• Models: RTX 2080, RTX 2070, RTX 2060

• High-speed GDDR6 memory (6GB–8GB depending on model)

• Real-time Ray Tracing & AI acceleration

• PCIe 3.0 interface for high-bandwidth GPU compute

• Efficient cooling system for long-duration workloads

• Compatible with AI frameworks: TensorFlow, PyTorch, Keras

• Ideal for AI workstations, HPC, 3D rendering, and gaming PCs

Applications

• Artificial Intelligence & Deep Learning Model Training

• Machine Learning Inference & AI Research

• 3D Rendering, CAD & Graphics Workstations

• GPU Workstations & HPC Clusters

• High-End Gaming & Multimedia Workstations

• Virtual Reality & Simulation

Available From

MRObotAI – AI Workstation & GPU Solutions Provider

Custom configurations available with COLORFUL RTX 2080, RTX 2070, and RTX 2060 GPUs for AI research labs, deep learning setups, GPU workstation builds, and professional rendering systems.

The ZOTAC RTX 2080 AMP, RTX 2070 Super, and RTX 2060 GPUs are high-performance graphics cards designed for AI workstations, deep learning, machine learning, 3D rendering, and high-end gaming. Built on NVIDIA’s Turing architecture, these GPUs provide CUDA cores for parallel computing, AI acceleration, and real-time ray tracing, making them ideal for professional AI workloads and gaming applications.

• RTX 2080 AMP: Flagship variant delivering maximum performance for AI model training, deep learning inference, GPU compute tasks, and 4K gaming.

• RTX 2070 Super: Balanced high-performance GPU suitable for AI research, 3D rendering, and GPU-accelerated tasks.

• RTX 2060: Cost-effective GPU for entry-to-mid-level AI tasks, professional workstations, and gaming, offering stable performance and efficient power consumption.

ZOTAC GPUs feature advanced cooling solutions, durable components, and low-noise operation, ensuring stable performance during prolonged GPU-intensive workloads. They are compatible with CUDA-enabled AI frameworks such as TensorFlow, PyTorch, and Keras, as well as professional graphics and rendering software.

MRObotAI supplies these GPUs as part of custom AI workstation and GPU server builds, supporting multi-GPU setups, high-speed NVMe storage, and optimized memory for deep learning, AI research, and 3D visualization workflows.

Key Features

• NVIDIA Turing Architecture with CUDA, RT, and Tensor Cores

• Models: RTX 2080 AMP, RTX 2070 Super, RTX 2060

• High-speed GDDR6 memory (6GB–8GB depending on model)

• Real-time Ray Tracing & AI acceleration

• PCIe 3.0 interface for high bandwidth and GPU compute

• Efficient cooling system with low-noise operation

• Compatible with AI frameworks: TensorFlow, PyTorch, Keras

• Ideal for AI workstations, HPC, 3D rendering, and gaming PCs

Applications

• Artificial Intelligence & Deep Learning Model Training

• GPU-Accelerated AI Workstations

• Machine Learning Inference & Research

• 3D Rendering, CAD & Graphics Workstations

• High-End Gaming & Multimedia Workstations

• Virtual Reality & Simulation

Available From

MRObotAI – AI Workstation & GPU Solutions Provider

Custom configurations available with ZOTAC RTX 2080 AMP, RTX 2070 Super, and RTX 2060 GPUs for AI research labs, deep learning setups, GPU workstation builds, and professional rendering systems

The GIGABYTE 1600W and 2000W Server Power Supply Units (PSUs) are high-performance, enterprise-grade power supplies designed for GPU servers, AI workstations, and high-performance computing (HPC) systems. These PSUs provide stable, reliable, and high-efficiency power delivery to ensure uninterrupted operation for multi-GPU setups, dense server racks, and compute-intensive workloads.

• 1600W PSU: Ideal for mid-to-high-end GPU servers, AI workstations, and multi-CPU configurations, delivering consistent power for demanding workloads.

• 2000W PSU: Designed for high-density GPU server systems, supporting multi-GPU setups, large-scale AI training, and HPC deployments with maximum reliability and efficiency.

GIGABYTE server PSUs feature redundant, hot-swappable design, high-efficiency ratings (80 PLUS Platinum/ Titanium), and protection mechanisms such as over-voltage, over-current, and short-circuit protection. They ensure stable power delivery under heavy AI, HPC, and rendering workloads, minimizing downtime and maximizing system longevity.

MRObotAI supplies these PSUs as part of custom AI workstation and GPU server solutions, allowing enterprises, research labs, and HPC environments to configure power systems according to GPU count, CPU load, and memory requirements.

Key Features

• High-performance GIGABYTE server PSUs: 1600W & 2000W

• Redundant and hot-swappable design for minimal downtime

• 80 PLUS Platinum / Titanium efficiency for energy savings

• Over-voltage, over-current, over-temperature, and short-circuit protection

• Stable and reliable power delivery for GPU servers and AI workstations

• Compatible with multi-GPU setups and high-core-count CPU servers

• Enterprise-grade durability and thermal management

Applications

• GPU Server Power Supply for AI Workstations

• High-Performance Computing (HPC) & Deep Learning Servers

• Multi-GPU AI Training & Inference Systems

• Enterprise Data Centers & Virtualization Servers

• 3D Rendering & Graphics-Intensive Workstations

• Scientific Simulation & Research Computing

Available From

MRObotAI – AI Workstation & GPU Server Solutions Provider

Custom configurations available with GIGABYTE 1600W / 2000W PSUs to support multi-GPU AI servers, deep learning workstations, and high-performance computing deployments.

The SUPERMICRO SYS-5029 and SYS-6029 Storage Servers are enterprise-grade storage platforms designed for AI workstations, deep learning, high-performance computing (HPC), and data center applications. These servers provide high-density storage, scalable memory, and robust processing power, ensuring reliable performance for enterprise and research workloads.

• SYS-5029 Storage Server: A 2U rack-mounted server optimized for dense storage, multi-GPU support, and AI/ML workloads. It supports multiple NVMe, SAS, and SATA drives with flexible expansion options for data-intensive AI applications, virtualization, and HPC.

• SYS-6029 Storage Server: A 4U high-capacity storage platform capable of supporting up to 12–24 hot-swappable drives, multi-GPU acceleration, and high-memory configurations for AI model training, deep learning, and enterprise data storage.

These servers feature redundant power supplies, advanced cooling systems, and hot-swappable drive bays, ensuring continuous operation under heavy workloads. They are compatible with GPU accelerators for AI, deep learning, and HPC tasks, providing a complete solution for storage-intensive environments.

MRObotAI offers these servers as part of custom AI and HPC infrastructure, configurable with NVIDIA GPUs, high-speed NVMe storage, and large ECC memory for scalable AI, deep learning, and virtualization deployments.

Key Features

• Supports SUPERMICRO SYS-5029 (2U) and SYS-6029 (4U) rack server platforms

• Dense storage with NVMe, SAS, and SATA drive support

• Multi-GPU support for AI and HPC workloads

• High-capacity DDR4/DDR5 ECC memory options

• Redundant power supplies and advanced thermal management

• Hot-swappable drive bays for minimal downtime

• Scalable and modular design for enterprise AI and HPC setups

• Enterprise-grade reliability for data-intensive workloads

Applications

• AI & Deep Learning Model Training

• High-Performance Computing (HPC) Workstations

• Enterprise Data Storage & Backup Solutions

• Virtualization & Cloud Computing Infrastructure

• GPU-Accelerated Scientific Simulation & Research

• 3D Rendering, CAD, and Graphics-Intensive Applications

Available From

MRObotAI – AI Workstation & GPU Server Solutions Provider

Custom configurations available with NVIDIA GPUs, NVMe/SAS/SATA storage, and high-capacity ECC memory for enterprise AI, deep learning labs, and storage-intensive HPC deployments.

The Intel ARC A770 Limited and ARC A750 Limited GPUs are high-performance graphics cards designed for AI workstations, deep learning, machine learning, 3D rendering, and high-end gaming. As part of Intel’s ARC Alchemist GPU lineup, these GPUs deliver efficient compute performance, high-speed memory, and advanced hardware acceleration, making them ideal for both professional AI workloads and gaming applications.

• ARC A770 Limited: Flagship model with maximum GPU cores and VRAM, optimized for AI model training, deep learning inference, GPU compute, and high-resolution gaming.

• ARC A750 Limited: High-performance GPU suitable for AI workstations, content creation, deep learning, and graphics-intensive applications, offering excellent performance per watt.

These Intel GPUs feature hardware-accelerated AI and ray tracing support, high-speed GDDR6 memory, and robust cooling solutions to ensure stable performance under sustained workloads. They are compatible with AI frameworks such as TensorFlow, PyTorch, and GPU-accelerated computing libraries, providing a reliable solution for AI researchers, developers, and content creators.

MRObotAI offers these GPUs as part of custom AI workstation and GPU server solutions, configurable with multi-GPU setups, high-speed storage, and optimized memory for deep learning, AI research, 3D rendering, and professional computing tasks.

Key Features

• Intel ARC Alchemist Architecture with AI and Ray Tracing Cores

• Models: ARC A770 Limited and ARC A750 Limited

• High-speed GDDR6 memory (8GB–16GB depending on model)

• PCIe 4.0 interface for high bandwidth and GPU acceleration

• Hardware-accelerated AI inference and ray tracing

• Efficient cooling design for long-duration workloads

• Compatible with AI frameworks: TensorFlow, PyTorch, and GPU compute libraries

• Ideal for AI workstations, HPC entry-level setups, 3D rendering, and gaming PCs

Applications

• Artificial Intelligence & Deep Learning Inference

• Machine Learning Model Training & AI Workstations

• 3D Rendering & CAD Applications

• High-End Gaming & Graphics Workstations

• Video Editing, Multimedia & Content Creation

• GPU-Accelerated Compute & HPC Entry-Level Workloads

Available From

MRObotAI – AI Workstation & GPU Solutions Provider

Custom configurations available with Intel ARC A770 Limited / ARC A750 Limited GPUs for AI research labs, deep learning setups, GPU workstation builds, and professional rendering systems

The NVIDIA RTX 2080 Ti, RTX 2080, and RTX 2070 Super GPUs are high-performance graphics cards designed for AI workstations, deep learning, machine learning, 3D rendering, and high-end gaming. Based on NVIDIA’s Turing architecture, these GPUs deliver advanced ray tracing, AI acceleration, and exceptional CUDA parallel processing performance.

• RTX 2080 Ti: Flagship GPU with maximum CUDA cores and memory, ideal for AI model training, deep learning, HPC workloads, and 4K gaming.

• RTX 2080: High-performance GPU suitable for AI inference, 3D rendering, and demanding gaming applications.

• RTX 2070 Super: Balanced GPU for mid-to-high-end AI workloads, professional rendering, and gaming, offering excellent performance per watt.

These NVIDIA GPUs are equipped with Tensor Cores for AI workloads, RT Cores for real-time ray tracing, and large GDDR6 memory, enabling fast AI computations, scientific simulations, and graphics-intensive tasks. The robust cooling solutions and durable components ensure stable operation during extended workloads.

MRObotAI provides these GPUs as part of custom AI workstation builds, with multi-GPU configurations, high-speed NVMe storage, and optimized memory for deep learning, AI research, and professional graphics workloads.

Key Features

• NVIDIA Turing architecture with CUDA, RT, and Tensor cores

• Models: RTX 2080 Ti, RTX 2080, RTX 2070 Super

• High-speed GDDR6 memory (8GB–11GB depending on model)

• Real-time Ray Tracing & AI acceleration (DLSS, Tensor Cores)

• PCIe 3.0 / 4.0 interface for high bandwidth

• Efficient cooling system for stable multi-hour workloads

• Compatible with AI frameworks: TensorFlow, PyTorch, Keras

• Ideal for AI workstations, HPC, 3D rendering, and high-end gaming

Applications

• Artificial Intelligence & Deep Learning Model Training

• Machine Learning Inference & AI Research

• 3D Rendering, CAD & Graphics-Intensive Workloads

• GPU Workstations & HPC Clusters

• High-End Gaming & Multimedia Workstations

• Virtual Reality & Simulation

Available From

MRObotAI – AI Workstation & GPU Solutions Provider

Custom configurations available with NVIDIA RTX 2080 Ti / RTX 2080 / RTX 2070 Super GPUs for AI research, deep learning labs, GPU workstations, and professional rendering setups

The INNO3D GTX 1660 and GTX 1650 GPUs are high-performance graphics cards designed for AI workstations, machine learning, deep learning, 3D rendering, and gaming PCs. Powered by NVIDIA’s Turing architecture, these GPUs provide CUDA cores for parallel computing, fast memory bandwidth, and reliable thermal management, making them suitable for both professional and gaming applications.

• GTX 1660: Delivers robust performance for AI inference, deep learning workloads, 3D rendering, and mid-to-high-end gaming, offering high efficiency and memory speed.

• GTX 1650: Cost-effective and power-efficient, ideal for entry-level AI tasks, lightweight GPU compute, and gaming, while maintaining stable operation under continuous workloads.

INNO3D GPUs are equipped with advanced cooling solutions, durable components, and low-noise fans, ensuring reliable performance for long-duration tasks. They are fully compatible with CUDA-enabled AI frameworks such as TensorFlow and PyTorch, and GPU-accelerated software for AI, rendering, and simulation.

MRObotAI provides these GPUs as part of custom AI workstation and GPU server setups, supporting multi-GPU configurations, high-speed memory, and optimized cooling for AI research, machine learning, and 3D visualization workloads.

Key Features

• NVIDIA Turing Architecture with CUDA cores for AI and compute tasks

• Models: GTX 1660 and GTX 1650

• High-speed GDDR5 / GDDR6 memory (4GB–6GB depending on model)

• Efficient cooling system with low-noise operation

• PCIe 3.0 interface for high bandwidth

• AI acceleration for deep learning and machine learning frameworks

• Compatible with TensorFlow, PyTorch, and GPU computing software

• Suitable for AI workstations, entry-level HPC, and gaming PCs

Applications

• Artificial Intelligence & Machine Learning Inference

• GPU-Accelerated AI Workstations

• 3D Rendering & CAD Applications

• Gaming & Graphics-Intensive Workstations

• Video Editing & Multimedia Processing

• Entry-Level HPC & Data Analytics

Available From

MRObotAI – AI Workstation & GPU Solutions Provider

Custom configurations available with INNO3D GTX 1660 / GTX 1650 GPUs for AI research labs, deep learning setups, GPU workstation builds, and professional rendering workstations

The ZOTAC GTX 1660 Super, GTX 1660 Ti, and GTX 1650 GPUs are high-performance graphics cards designed for AI workstations, machine learning, deep learning, 3D rendering, and gaming PCs. Built on NVIDIA’s Turing architecture, these GPUs deliver efficient performance, CUDA cores for parallel computing, and reliable thermal design for professional and personal computing tasks.

• The GTX 1660 Super offers excellent performance for AI inference, deep learning workloads, and mid-to-high-end gaming, with enhanced memory bandwidth and optimized power efficiency.

• The GTX 1660 Ti provides higher core count and faster memory, ideal for AI model training, GPU compute tasks, and 3D rendering applications.

• The GTX 1650 is a cost-effective GPU, suitable for entry-level AI tasks, workstation setups, and gaming with reliable performance and low power consumption.

ZOTAC GPUs are designed with robust cooling solutions, low noise operation, and durable components, ensuring stable operation during intensive workloads. They are compatible with CUDA-enabled AI frameworks like TensorFlow and PyTorch, as well as popular graphics and visualization software.

MRObotAI provides these ZOTAC GPUs as part of custom AI workstation solutions, configurable with multiple GPUs, optimized cooling, and high-speed memory for deep learning, AI research, and 3D rendering workloads.

Key Features

• NVIDIA Turing Architecture with CUDA cores for AI and compute workloads

• GTX 1660 Super, GTX 1660 Ti, GTX 1650 for scalable performance options

• High-speed GDDR6 memory (4GB–6GB depending on model)

• Efficient cooling and low-noise operation

• PCIe 3.0 interface for high bandwidth

• AI acceleration for machine learning and deep learning tasks

• Compatible with AI frameworks (TensorFlow, PyTorch) and GPU compute software

• Suitable for AI workstations, HPC entry-level setups, and gaming PCs

Applications

• Artificial Intelligence & Deep Learning Inference

• GPU-Accelerated AI Workstations

• Machine Learning Model Training & Testing

• 3D Rendering & CAD Applications

• Gaming & Graphics-Intensive Workstations

• Video Editing & Multimedia Processing

• Entry-Level HPC & Data Analytics

Available From

MRObotAI – AI Workstation & GPU Solutions Provider

Custom configurations available with ZOTAC GTX 1660 Super, GTX 1660 Ti, and GTX 1650 GPUs for AI research, deep learning labs, and GPU workstation deployments

The GIGABYTE G292 and G492 Rack Server Systems are enterprise-grade servers designed for GPU-accelerated AI workloads, deep learning, high-performance computing (HPC), and virtualization environments. These high-density rack servers provide scalable GPU performance, high memory bandwidth, and robust reliability for data centers, AI research labs, and enterprise HPC deployments.

• The G292 Rack Server is a 2U GPU-ready server platform supporting dual AMD EPYC processors, multiple PCIe Gen4 GPU slots, and high-capacity DDR4 memory, making it ideal for AI model training, deep learning inference, and scientific computing.

• The G492 Rack Server is a 4U high-density server platform capable of supporting up to 8 dual-slot GPUs, dual AMD EPYC CPUs, and extensive memory configurations, delivering massive parallel computing power for AI, HPC, and virtualization workloads.

Both server systems feature redundant power supplies, advanced thermal design, hot-swappable drive bays, and enterprise-grade remote management, ensuring high availability and reliability for mission-critical AI and HPC applications. The modular design allows for easy GPU upgrades, memory expansion, and storage scaling, making these systems highly adaptable for growing AI infrastructure needs.

MRObotAI offers these GIGABYTE rack servers as part of custom AI workstation and GPU server solutions, configurable with NVIDIA RTX, Tesla, or A-series GPUs, high-speed NVMe storage, and large ECC memory capacities.

Key Features

• Supports GIGABYTE G292 (2U) and G492 (4U) rack server platforms

• Dual AMD EPYC 7002/7003 processors for high-performance computing

• Up to 8 dual-slot GPUs (G492) or multiple GPU support (G292)

• PCIe Gen4 architecture for high-bandwidth GPU communication

• High-capacity DDR4 ECC memory support for AI workloads

• NVMe/SATA hot-swappable drive bays for storage flexibility

• Redundant high-efficiency power supplies for enterprise reliability

• Advanced airflow and thermal design for GPU-heavy workloads

• Integrated remote server management for monitoring and control

Applications

• Artificial Intelligence & Deep Learning Model Training

• GPU-Accelerated Workstations & HPC Servers

• Scientific Simulation & Research

• 3D Rendering & Graphics-Intensive Workloads

• Virtualization & Cloud Computing Infrastructure

• Big Data Analytics & Data Center Applications

Available From

MRObotAI – AI Workstation & GPU Server Solutions Provider

Custom configurations available with NVIDIA GPUs, high-speed NVMe storage, and large ECC memory for enterprise AI, deep learning, and HPC server deployments.

The ASUS RS720 and RS520 Server Rack Platforms are enterprise-grade rackmount servers engineered for high-performance computing (HPC), AI workstations, deep learning, and GPU-accelerated workloads. These servers provide scalable performance, flexible expansion options, and robust reliability for modern data centers and AI research labs.

• The RS720 platform is a 2U rack server designed to accommodate multiple high-performance GPUs, dual Intel Xeon processors, high-capacity DDR4 memory, and NVMe storage. It’s ideal for AI model training, data analytics, scientific computing, and virtualization environments.

• The RS520 platform is a versatile 1U/2U rack server offering balanced CPU/GPU performance, high-density memory support, and enterprise-grade management for AI, HPC, and virtualization workloads.

Both platforms feature redundant power supplies, advanced thermal design, hot-swappable drive bays, and integrated remote server management, ensuring uninterrupted operation for mission-critical applications. The modular design enables easy upgrades, GPU additions, and storage expansion, making them perfect for scalable AI infrastructure.

MRObotAI provides these ASUS server rack platforms as part of custom GPU server solutions, configurable with NVIDIA RTX/Tesla GPUs, high-speed NVMe storage, and large ECC memory for AI, HPC, and deep learning deployments.

Key Features

• Supports ASUS RS720 (2U) and RS520 (1U/2U) rack server platforms

• Dual Intel Xeon scalable processor support for HPC and AI workloads

• Multiple GPU slots for NVIDIA RTX, Tesla, or A-series accelerators

• High-capacity DDR4 ECC memory support

• NVMe/SATA storage support with hot-swappable drive bays

• Redundant power supplies for enterprise reliability

• Advanced thermal design for optimized airflow and cooling

• Integrated remote server management for monitoring and control

• Scalable solution for AI, HPC, and virtualization workloads

Applications

• GPU Server Workstations for AI & Deep Learning

• High-Performance Computing (HPC) Clusters

• Scientific Simulation & Research

• Machine Learning Model Training & Inference

• 3D Rendering & Graphics-Intensive Workloads

• Virtualization & Cloud Server Infrastructure

• Data Analytics & Big Data Processing

Available From

MRObotAI – AI Workstation & GPU Server Solutions Provider

Custom configurations available with NVIDIA GPUs, high-speed NVMe storage, and high-capacity ECC memory for enterprise AI, HPC, and GPU server deployments.

The SUPERMICRO 2U and 4U Rack Server Chassis (GPU Ready) are enterprise-grade, high-density server enclosures designed to accommodate multiple GPU accelerators for AI workstations, deep learning, HPC, and virtualization workloads. These chassis deliver reliable cooling, scalable expansion, and robust structural design to support modern GPU servers in research, enterprise, and data center environments.

The 2U GPU-ready chassis is compact yet powerful, supporting dual or quad GPU configurations with efficient airflow and thermal design. It allows high-density memory installation, multiple storage devices, and flexible PCIe expansion, making it ideal for AI model training, machine learning, and GPU-intensive compute tasks.

The 4U chassis offers higher GPU density, supporting up to 8 dual-slot GPUs, multiple NVMe/SATA drives, and redundant power supplies. Its high-efficiency cooling and tool-less design ensure optimal performance for large-scale GPU deployments in AI research labs, data centers, and HPC environments.

SUPERMICRO GPU-ready chassis feature hot-swap drive bays, modular PSU options, and advanced airflow design for maintaining stable GPU operation even under the heaviest workloads. These chassis are fully compatible with NVIDIA RTX, A-series, and Tesla GPUs, providing scalable solutions for deep learning, AI, 3D rendering, and HPC simulations.

MRObotAI provides these chassis as part of custom GPU workstation and server builds, configurable with multiple GPU accelerators, high-speed memory, NVMe storage, and network optimization for enterprise and research-grade AI applications.

Key Features

• Supports 2U and 4U rack configurations for GPU servers

• Up to 8 dual-slot GPUs in 4U chassis (varies by GPU size)

• Hot-swappable drive bays (NVMe, SATA, SAS)

• Modular redundant power supply options

• Tool-less design for easy assembly and maintenance

• Optimized airflow and cooling for GPU-heavy workloads

• High-density memory and PCIe expansion support

• Compatible with NVIDIA RTX / Tesla / A-series GPUs

• Enterprise reliability for AI, HPC, and deep learning deployments

Applications

• Artificial Intelligence & Deep Learning Workstations

• Machine Learning Model Training & Inference

• High-Performance Computing (HPC)

• Scientific Simulation & Research Labs

• 3D Rendering & Animation Workstations

• GPU Virtualization & Cloud Computing Infrastructure

• Data Analytics & Big Data Workloads

Available From

MRObotAI – AI Workstation & GPU Server Solutions Provider

Custom configurations available for GPU-optimized racks with NVIDIA RTX, A-series, or Tesla GPUs, high-capacity memory, and high-speed NVMe storage for enterprise AI infrastructure.

The Intel Xeon 8480, 8468, and 6430 server CPUs are high-performance processors designed for AI workstations, GPU servers, data centers, and high-performance computing (HPC) applications. Built for enterprise workloads, these CPUs deliver exceptional multi-core performance, high memory bandwidth, and reliability required for modern AI, machine learning, and data-intensive workloads.

• The Intel Xeon 8480 is a flagship processor with maximum cores and threads, ideal for GPU-accelerated AI training, large-scale HPC simulations, and enterprise virtualization environments.

• The Intel Xeon 8468 provides balanced performance with high core count and power efficiency, suitable for AI inference, 3D rendering, and data analytics.

• The Intel Xeon 6430 is designed for mainstream server deployments, delivering robust performance for AI workstations, virtualization, and high-throughput computing tasks.

These CPUs support DDR5/DDR4 ECC memory, PCIe 5.0/4.0 expansion for high-speed GPU integration, and advanced Intel technologies such as Turbo Boost, Hyper-Threading, and AVX-512 acceleration for compute-intensive workloads. They are optimized for multi-GPU server setups used in AI, deep learning, scientific computing, and enterprise data centers.

MRObotAI offers these Intel Xeon server CPUs as part of custom AI workstation and GPU server solutions, configurable with multiple GPUs, high-speed NVMe storage, and large memory for scalable AI infrastructure and HPC deployments.

Key Features

• Intel Xeon 8480 / 8468 / 6430 processors for server-grade performance

• Multi-core, multi-threaded architecture for parallel workloads

• Support for high-capacity ECC DDR5/DDR4 memory

• PCIe 5.0 / 4.0 support for GPU acceleration

• Intel Turbo Boost and Hyper-Threading for peak performance

• AVX-512 acceleration for AI, HPC, and scientific workloads

• Optimized for GPU servers, AI workstations, and virtualization

• Enterprise-grade reliability and thermal efficiency

Applications

• Artificial Intelligence & Deep Learning Model Training

• GPU-Accelerated AI Workstations and HPC Servers

• Data Analytics & Big Data Processing

• 3D Rendering & Graphics-Intensive Workloads

• Virtualization & Cloud Server Infrastructure

• Scientific Simulation & Research Computing

Available From

MRObotAI – AI Workstation & GPU Server Solutions Provider

Custom configurations available with Intel Xeon CPUs, NVIDIA GPUs, high-speed memory, and NVMe storage for enterprise AI, HPC, and workstation deployments.

The Colorful Technology RTX 3050 NB and RTX 3060 NB GPUs are high-performance graphics cards designed for modern AI workstations, GPU computing environments, and professional rendering systems. Built using the advanced NVIDIA Ampere Architecture, these GPUs deliver powerful parallel processing capabilities, improved energy efficiency, and advanced AI acceleration features.

Available through MRObotAI, these graphics cards are suitable for AI developers, machine learning engineers, data scientists, and professionals requiring reliable GPU performance for compute-intensive workloads.

The NVIDIA GeForce RTX 3050 NB GPU typically comes with 6GB GDDR6 memory, offering efficient performance for entry-level AI development, GPU rendering, and multimedia production. With thousands of CUDA cores and support for modern graphics technologies, it provides a balanced combination of performance and power efficiency for workstation environments.

For more demanding tasks, the NVIDIA GeForce RTX 3060 NB GPU features 12GB GDDR6 memory and a higher CUDA core count, enabling faster processing of machine learning models, large datasets, and GPU-accelerated applications. This GPU is widely used for deep learning experiments, 3D rendering, high-resolution visualization, and simulation workloads.

Both GPUs integrate advanced AI and graphics acceleration technologies including Tensor Cores for machine learning operations and Ray Tracing Cores for realistic lighting and reflections. Support for NVIDIA DLSS (Deep Learning Super Sampling) improves performance in graphics workloads while maintaining high visual quality.

The dual-fan cooling system in the NB series ensures effective heat dissipation and stable operation even during heavy workloads. The cards support PCIe interface connectivity and multiple display outputs including HDMI and DisplayPort, enabling flexible workstation setups and multi-monitor configurations.

These GPUs are suitable for installation in AI workstations, GPU servers, engineering systems, research labs, and content creation studios requiring efficient GPU acceleration.

MRObotAI supplies these GPUs as part of its AI workstation hardware solutions, GPU compute infrastructure, and professional workstation components.

Key Features

• NVIDIA Ampere Architecture GPU

• Models Available: RTX 3050 NB (6GB) / RTX 3060 NB (12GB)

• High-Speed GDDR6 Graphics Memory

• CUDA Parallel Processing Cores

• AI Acceleration with Tensor Cores

• Real-Time Ray Tracing Support

• PCI Express Interface Compatibility

• Dual-Fan Cooling Design

• HDMI and DisplayPort Connectivity

Introducing the GIGABYTE AORUS Gen4 & Gen5 Storage Adapter — an advanced PCIe NVMe SSD expansion solution designed for systems requiring ultra‑fast storage performance, flexible multi‑drive support, and easy RAID configuration. Perfect for workstation builds, high‑performance PCs, data‑intensive workflows, video editing, gaming rigs and enterprise storage expansion, this adapter leverages cutting‑edge PCI Express interfaces to boost bandwidth and maximize storage throughput.

The AORUS Gen4 AIC Adapter and Gen5 AIC Adapter provide PCIe‑based add‑in card solutions that allow multiple NVMe M.2 SSDs to be installed through a single PCIe slot, delivering enhanced storage capacity and blazing data transfer speeds. These adapters are tailored for users who demand reliability, scalability and performance in high throughput environments.

🔥 Key Features & Benefits 🧠 Full PCIe Gen4 & Gen5 Ready Design

• Supports PCI Express Gen4 (AORUS Gen4 AIC) and PCI Express Gen5 (AORUS Gen5 AIC) standards, ensuring backward compatibility with older generation SSDs while enabling the latest PCIe 5.0‑based SSD performance.

📊 Multi‑Drive NVMe Expansion

• Equipped with four M.2 NVMe SSD slots to support multiple high‑speed SSDs simultaneously.

• Ideal for creating large capacity multi‑drive arrays or high‑performance RAID configurations for fast sequential transfers and parallel I/O operations.

⚡ Extreme Storage Performance

• When paired with compatible PCIe 5.0 NVMe SSDs, the Gen5 adapter can achieve up to ~63 GB/s total bandwidth in RAID configurations, far surpassing traditional single‑drive performance.

🛠️ Advanced Thermal Management

• Premium thermal design includes heatsinks, thermal pads and active cooling fan solutions to keep SSD temperatures in check during heavy workloads.

• Maintains consistent performance under load and improves longevity of high‑speed SSDs.

🧩 Easy RAID Setup

• Supports software‑driven RAID configurations for data redundancy (RAID 1/10) or maximum speed (RAID 0) with one‑click utility support such as AORUS Storage Manager.

• Perfect for accelerated data workflows and professional storage setups.

💡 Versatile Compatibility

• Designed to fit into standard PCIe x16 expansion slots on desktops, workstations and servers.

• Backward compatible with PCIe 4.0 and 3.0 systems, allowing flexible use across a variety of hardware platforms.

📌 Typical Applications

✔ High‑performance storage expansion for workstations & desktops
✔ RAID storage setups for video editing, animation, VFX and graphics rendering
✔ Fast NVMe storage pools for data analytics and compute workloads
✔ Multi‑SSD arrays for large dataset access and backups
✔ Gaming systems requiring ultra‑quick load times and high bandwidth

Boost your AI workstations, GPU‑accelerated compute systems, and deep learning environments with the ZOTAC RTX 3090 AMP Extreme and RTX 3080 AMP Graphics Cards — premium GPU accelerators designed for high‑performance computing, neural network training, 3D rendering, complex simulations, and advanced professional workloads.

🚀 Powerful GPU Architecture

Both models are built on the NVIDIA Ampere architecture, delivering significant enhancements in parallel processing, ray tracing, and AI performance. These GPUs integrate CUDA Cores for compute acceleration, Tensor Cores for AI workflows, and RT Cores for real‑time ray tracing, making them ideal for modern GPU‑driven tasks.

🏆 ZOTAC RTX 3090 AMP Extreme Holo

The RTX 3090 AMP Extreme Holo is a flagship GPU designed for extreme workloads with an enormous 24GB GDDR6X memory and 10,496 CUDA cores, enabling massive parallel compute throughput for deep learning, high‑resolution simulations and large dataset processing. It offers advanced cooling with IceStorm 2.0 and customizable RGB lighting, plus support for high‑resolution multi‑display configurations.

Key Features:

• Huge 24GB GDDR6X memory for data‑intensive workloads.

• Massive core count for faster AI training and compute tasks.

• Advanced cooling system (IceStorm 2.0) for stable performance.

• PCIe 4.0 x16 interface for high‑speed data transfer.

⚡ Zotac RTX 3080 AMP Holo

The RTX 3080 AMP Holo leverages GDDR6X memory (12GB) and a high core count (8,704 CUDA cores) to deliver robust compute and graphics throughput. It offers excellent balance between performance and efficiency for AI inference, CUDA acceleration workloads, visualization, and simulation tasks.

Key Features:

• 12GB GDDR6X memory for high‐speed data access.

• Enhanced Tensor and RT Cores for AI and ray tracing acceleration.

• IceStorm cooling and RGB lighting design.

• PCI Express 4.0 support for broad platform compatibility.

📈 Performance & Capabilities

✔ AI & Deep Learning Acceleration: Tensor Cores deliver high‑efficiency matrix multiply operations ideal for training and inference workloads.
✔ CUDA Compute Power: High CUDA core counts enable accelerated parallel compute tasks with frameworks like TensorFlow and PyTorch.
✔ Real‑Time Ray Tracing: RT Cores provide hardware‑optimized ray tracing for visualization and rendering workflows.
✔ High‑Memory Bandwidth: GDDR6X memory ensures fast data throughput for large neural networks and datasets.
✔ Advanced Cooling & Stability: IceStorm cooling systems and robust build quality maintain thermal performance under extended workloads.

🖥️ Use Cases & Applications

• AI Model Training & Inference Acceleration

• GPU Workstations & Compute Nodes

• Deep Learning Research & Development

• 3D Rendering & Video Production

• Scientific Simulations & Engineering Tasks

• High‑Resolution Visualization & Virtualization

• CUDA‑accelerated Data Processing Pipelines

Supplier: MRObotAI
Category: AI Workstation GPUs / Deep Learning Accelerators / High‑Performance Computing Hardware