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AMD Instinct GPU servers

AMD Instinct GPU servers with instant delivery

Optimize your Machine Learning and LLM workloads with HPE enterprise grade dedicated servers powered by AMD Instinct.

AMD Instinct MI300A with 192GB HBM3 memory. CDNA3 GPU architecture & Zen 4 CPU cores. HPE enterprise-grade bare metal servers.

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AMD Instinct MI300A APU bare metal servers

Purpose-built for AI, machine learning, and large language model workloads. Our AMD Instinct GPU servers deliver exceptional compute density with HBM3 memory, CDNA3 architecture, and Zen 4 CPU cores for demanding AI/HPC applications.

Exceptional performance

Built on the revolutionary CDNA3 architecture, the MI300A APU excels in delivering unparalleled computing performance, perfect for the most demanding AI and HPC workloads.

High-efficiency

The integration of AMD Instinct accelerators with EPYC™ Zen 4 CPU cores (24 cores) improves efficiency, flexibility and programmability while eliminating data transfer delays.

Scalability

Choose a high-performance server equipped with the AMD Instinct MI300A APU, tailored to meet scalable requirements, boasting an impressive 192GB HBM3 memory capacity.

AMD Instinct™ MI200 Series

High-performance accelerators designed for exascale HPC and AI workloads

AMD Instinct MI250X

AMD Instinct MI250X Accelerator

The AMD Instinct MI250X is the ideal accelerator for HPC workloads, specifically engineered for the exascale computing era.

AMD Instinct MI250

AMD Instinct MI250 Accelerator

The AMD Instinct MI250 accelerator delivers unmatched performance for HPC and AI applications, making it an invaluable asset for enterprises, research and academic institutions.

AMD Instinct MI210

AMD Instinct MI210 Accelerator

Enhancing HPC and AI capabilities, the AMD Instinct MI210 Accelerator is tailored for research, academic and business environments, hosting both single-server and larger solutions.

Computational power

The AMD Instinct™ MI200 series, powered by 2nd Gen AMD CDNA™ architecture, utilizes a multi-chip design for maximum throughput and power efficiency in demanding HPC and AI workloads.

AI performance

With advanced AI capabilities, your M200 dedicated server accelerate deep learning training and inference, providing powerful solutions for AI-based projects.

CDNA™ architecture

Featuring 2nd CDNA™ architecture and 3rd Infinity architecture, these servers seamlessly integrate CPU and GPU resources, maximizing system efficiency and throughput.

Connectivity

Servers equipped with AMD Instinct MI200 series accelerators offer advanced peer-to-peer connectivity with up to 8 AMD Infinity Fabric™ links, ensuring seamless and efficient data transfer for demanding workloads.

HPE enterprise grade dedicated servers powered by AMD Instinct™

HPE enterprise

Your AMD INSTINCT™ GPU dedicated server is powered by HPE Enterprise servers, ensuring stable performance for the most demanding workloads.

Hardware upgrades

Easily add resources or additional servers to your server infrastructure. Most upgrades are processed within 24 hours.

24/7 support

Dedicated server experts are available to assist 24/7 via live chat and email.

MI210 L40S A100 H100
GPU Architecture CDNA 2.0 Ada Lovelace NVIDIA Ampere Hopper
GPU Memory 64GB HBM2e 48GB GDDR6 80GB HBM2e 80GB HBM3
GPU Memory Bandwidth 1638 GB/s 864 GB/s 1935 GB/s 3352 GB/s
FP32 22.63 TFLOPS 91.6 TFLOPS 19.5 TFLOPS 51 TFLOPS
TF32 Tensor Core 312 TFLOPS 366 TFLOPS 312 TFLOPS 756 TFLOPS
FP16/BF16 Tensor Core 181 TFLOPS 733 TFLOPS 624 TFLOPS 1513 TFLOPS
Power Up to 300W Up to 350W Up to 400W Up to 350W
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FAQ about AMD Instinct GPU servers

Common questions about deploying and managing your AMD Instinct GPU-accelerated servers for AI, HPC, and machine learning workloads.

What are AMD Instinct GPUs and what workloads are they designed for?

AMD Instinct GPUs are high-performance accelerators specifically designed for artificial intelligence, machine learning, large language models (LLMs), and high-performance computing (HPC) workloads. They excel at deep learning training and inference, scientific simulations, data analytics, and computational research. The CDNA architecture is optimized for compute-intensive parallel processing rather than graphics rendering.

What's the difference between AMD Instinct MI300A and MI200 series?

The MI300A is AMD's latest APU that integrates AMD Instinct accelerator with AMD EPYC™ Zen 4 CPU cores (24 cores) on a single chip, featuring 192GB HBM3 memory and 3rd Gen AMD Infinity Architecture. The MI200 series (MI250X, MI250, MI210) are dedicated GPU accelerators built on 2nd Gen CDNA architecture with multi-chip designs. MI300A offers unified memory architecture eliminating CPU-GPU data transfer delays, while MI200 series provides exceptional peer-to-peer connectivity through AMD Infinity Fabric™ links.

How long does it take to deploy an AMD Instinct GPU server?

Your AMD Instinct dedicated server is typically activated within 3-10 minutes after payment clears for instant delivery servers. For custom configurations, deployment time varies based on hardware availability. All servers include instant OS reload capabilities, allowing you to iterate quickly without re-opening support tickets. Our network routes are optimized for always-on workloads and high-throughput data transfer.

What software and frameworks are compatible with AMD Instinct GPUs?

AMD Instinct GPUs are fully compatible with ROCm (Radeon Open Compute), AMD's open-source software platform for GPU computing. They support popular frameworks including PyTorch, TensorFlow, JAX, and ONNX Runtime. ROCm provides HIP (Heterogeneous-Compute Interface for Portability) for easy CUDA code migration, along with optimized libraries for BLAS, FFT, RNG, and deep learning primitives. The platform supports containerized workflows with Docker and Kubernetes for scalable AI/ML deployments.

What memory capacity and bandwidth do AMD Instinct servers offer?

AMD Instinct MI300A features 192GB of HBM3 (High Bandwidth Memory) with exceptional memory bandwidth for data-intensive workloads. The MI200 series accelerators offer high-bandwidth HBM2e memory configurations optimized for large-scale AI models and HPC applications. This high memory capacity enables training of large language models, processing massive datasets, and running complex simulations without frequent data transfers between host and accelerator memory.