Skip to main content Skip to search Skip to main navigation

Server GPUs: Outstanding Performance for HPC, AI, and Enterprise Data Centers

Modern data centers and server infrastructures demand maximum performance, efficiency, and scalability to handle the most demanding workloads. Server GPUs deliver precisely that: a powerful and future-proof solution for the most complex challenges in High-Performance Computing (HPC), artificial intelligence (AI), Deep Learning, Machine Learning (ML), and data-driven applications. At server-hardware.com, you’ll find a curated portfolio of GPUs for servers – ideal for deployment in cloud infrastructures, exascale computing, big data analytics, data centers, AI clusters, and scientific computing environments. Our enterprise GPUs are based on leading GPU architectures such as NVIDIA Hopper™ or AMD Instinct™, delivering top performance per watt. Benefit from our extensive stock availability, attractive B2B terms, and fast delivery to execute your projects on time and efficiently.
Extra discount for bulk orders
Save cash by ordering volume or quantity
24/7 Customer Service
Chat with us now
Free Quotation Service
Get your best price quotation for major deals

Server GPU Prices

Frequently Asked Questions about GPU for Server:

Our Server GPUs are compatible with a wide range of platforms from leading OEMs such as HPE, Dell, Gigabyte, and Supermicro. They include special optimizations for continuous operation in server environments. Detailed specifications can be found on each product page. If you have any questions, our technical support team is always available to assist you.

A GPU for Server is designed for compute-intensive, non-graphical workloads. Unlike consumer graphics cards, they usually come without display outputs and are built specifically for parallel data processing, maximum scalability, and reliability in continuous 24/7 operation—ideal for AI training, HPC simulations, big data analytics, and machine learning (including training large-scale models such as LLMs and inference tasks). These GPUs feature optimizations such as ECC VRAM, server-grade drivers, and robust cooling for stable long-term performance.

Start by analyzing your primary workload: for HPC, AI training, or scientific simulations, we recommend GPUs with high FP64/FP32 performance and large memory bandwidth. For inference or scalable cloud workloads, energy-efficient Server GPUs with high density are a better choice. Our team of experts is happy to provide tailored recommendations for your needs.

Modern Server GPUs are based on high-performance architectures such as NVIDIA Hopper™ or AMD CDNA™, supporting mixed-precision calculations (e.g., TF32, FP8), high memory bandwidth (HBM2/3), and multi-GPU scaling. These architectures are specifically designed for data center environments and scientific workloads.

Why a Server GPU is the Right Choice for Your B2B Portfolio

Integrating modern Server GPUs into your IT infrastructure provides a decisive competitive edge. Enterprise GPUs are critical when it comes to performance, energy efficiency, and long-term scalability.

  • Outstanding Compute Power: Leverage specialized GPUs for AI models, Large Language Models (LLMs), transformer-based architectures, deep learning training and inference, simulations, and data analytics – with maximum parallelism and low latency.
  • Scalability & Energy Efficiency: With GPU architectures like CDNA or Hopper, you benefit from optimal performance per watt – essential for TCO in modern data centers, cloud environments, and exascale infrastructures.
  • Open Software Ecosystems: Many Server GPUs support open-source frameworks such as ROCm (for AMD), CUDA® (for NVIDIA), PyTorch, or TensorFlow. This ensures maximum flexibility for developers and is especially valuable for AI and machine learning workloads.
  • Future-Proofing: Invest in scalable GPU infrastructure that grows with your applications – from dedicated servers to large-scale AI and HPC clusters at the exascale level.

Key Technologies: AMD Instinct & NVIDIA Hopper

Our Server GPU portfolio is designed specifically for professional data center use. With the latest generations of AMD Instinct Accelerators and NVIDIA Hopper architecture, you gain access to two high-performance platforms built for data-intensive and compute-heavy workloads. This makes it easier to select the right GPU for Server projects in HPC, AI, or machine learning.

AMD Instinct Accelerators: Maximum Performance for Scientific Computing and AI

The AMD Instinct series is tailored for data centers that demand maximum performance and energy efficiency for compute-intensive tasks. Powered by the AMD CDNA architecture, these GPUs deliver outstanding FP64 and FP32 performance, ideal for:

  • High-Performance Computing (HPC): Accelerating simulations, numerical calculations, genomics research, or energy and weather modeling.
  • Artificial Intelligence (AI) & Machine Learning (ML): Training large models (Large Language Models, transformer models), analyzing image, text, and video data, as well as predictive analytics and inference processes.

The current MI200 and MI300 series models impress with extremely high memory bandwidth, multi-GPU capability, and an open ROCm software ecosystem that simplifies deployment in heterogeneous environments.

NVIDIA Hopper GPUs: Accelerators for the AI Era

The NVIDIA Hopper architecture is purpose-built for next-generation AI and deep learning workloads. With advanced features like the Transformer Engine, efficient mixed-precision compute, and seamless support for CUDA®-based frameworks, Hopper GPUs deliver maximum acceleration for:

  • Deep Learning Training & Inference: Accelerating large neural networks, Large Language Models (LLMs), and foundation models with specialized functions for transformer models and sparse tensor computations.
  • HPC & Data Analytics: Optimized FP64/FP32 performance, ideal for scientific computing, technical simulations, or big data workflows.
  • Datacenter Workloads: High energy efficiency and scalability make Hopper the ideal platform for cloud-based AI infrastructures and exascale computing.

Of particular note is the NVIDIA H100, setting new standards in AI performance, memory throughput, and parallel processing – for both training and inference.

Overview: AMD Instinct vs. NVIDIA Hopper for Server Workloads

Target Audience / Use Case HPC, AI, Machine Learning Deep Learning, AI Training, HPC, Data Centers
Typical Applications - Scientific Simulations
- Genomics Research
- Model Training (LLMs)
- Image and Video Analysis
- Transformer-based Models
- Foundation Models
- Real-Time Inference
- Scientific Data Centers
Architecture / Technology AMD CDNA, ROCm, MI200-/MI300 Series NVIDIA Hopper, CUDA®, H100
Key Features - High FP64/FP32 Compute Performance
- High Memory Bandwidth
- Energy Efficient & Scalable
- Mixed-Precision Computing (TF32, FP8)
- Transformer Engine
- NVIDIA NVLink & Multi-GPU Support
Unique Advantages Open-source software stack, no vendor lock-in, highly efficient for scientific workloads Maximum AI acceleration, seamless CUDA integration, ideal for AI-driven data centers
Example Use Cases - Research & Simulation
- Technical Computing
- Machine Learning
- AI Model Training
- LLM Inference
- Cloud AI Platforms

Your Advantage as a Reseller with server-hardware.com

We understand the needs of IT solution providers, system integrators, and VARs. Our service is designed to make your procurement process as smooth and efficient as possible.

  • Immediate Availability & Fast Delivery: With our large inventory, many Server GPUs are available for immediate shipment. Check real-time stock directly on our product pages.
  • Attractive B2B Terms: As a registered business customer, you benefit from special pricing and offers that protect your margins.
  • Easy Product Search & Ordering: Use our intelligent filters to quickly find the right GPU. The ordering process is transparent and tailored for B2B needs.
  • Technical Expertise & Support: Our experienced team assists you in selecting the right GPU for Server projects, ensuring compatibility with server systems from vendors like HPE, Dell, Supermicro, or Gigabyte, and advising on optimizations for continuous operation such as ECC VRAM and server-optimized drivers.

Browse our selection of AMD Instinct and NVIDIA Hopper GPUs. Use filters to refine by application, memory type, form factor, or compatibility.