AMD Instinct GPU servers

Deploy AMD Instinct accelerators on bare metal infrastructure

Deploy HPE enterprise-grade bare metal servers powered by AMD Instinct accelerators for machine learning, LLM inference, and high-performance computing workloads.

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MI300A APU with 192GB HBM3 unified memory. CDNA3 architecture integrated with Zen 4 cores. HPE ProLiant enterprise infrastructure.

AMD Instinct MI300A APU bare metal servers

Engineered for artificial intelligence, machine learning, and large language model deployment. AMD Instinct GPU servers combine CDNA3 compute architecture with Zen 4 CPU cores and 192GB HBM3 unified memory for intensive AI training, inference, and HPC applications.

Maximum compute throughput

CDNA3 architecture delivers breakthrough compute performance for deep learning training, LLM fine-tuning, and scientific computing workloads requiring maximum throughput.

Unified memory architecture

Integrated design combining AMD Instinct GPU with 24-core EPYC™ Zen 4 CPU eliminates traditional CPU-GPU data transfer bottlenecks for superior efficiency and programmability.

Massive memory capacity

192GB HBM3 unified memory enables training and inference of large-scale AI models without memory constraints, supporting complex workloads with extensive datasets.

AMD Instinct™ MI200 Series

Enterprise-grade accelerators built on CDNA 2 architecture for exascale computing and AI workloads

AMD Instinct MI250X Accelerator

Flagship MI200 series accelerator delivering exascale-class performance for advanced HPC simulations, molecular dynamics, and AI research applications.

AMD Instinct MI250 Accelerator

Production-ready accelerator optimized for AI training, inference workloads, and computational research across enterprise, academic, and scientific institutions.

AMD Instinct MI210 Accelerator

Cost-effective accelerator ideal for deep learning development, data analytics, and workstation-class HPC deployments in research and enterprise environments.

Multi-chip architecture

2nd Gen CDNA™ architecture leverages advanced chiplet design delivering exceptional compute density and power efficiency for parallel processing workloads at scale.

AI acceleration

MI200 accelerators provide optimized matrix operations and mixed-precision compute for accelerated deep learning training, model fine-tuning, and inference deployment.

Memory coherency architecture

3rd Gen AMD Infinity architecture enables high-bandwidth, low-latency communication between GPU compute units and system memory for maximized data throughput.

GPU interconnect

Up to 8 AMD Infinity Fabric™ links per accelerator enable high-speed peer-to-peer GPU communication for multi-GPU training and distributed computing workloads.

HPE enterprise infrastructure for AMD Instinct™ workloads

HPE ProLiant platform

AMD Instinct accelerators deployed on HPE ProLiant enterprise servers deliver carrier-grade reliability and consistent performance for production AI and HPC workloads.

Flexible expansion

Scale your GPU infrastructure on-demand with fast hardware provisioning. Standard upgrades and additional capacity typically deployed within 24 hours.

Expert support

GPU infrastructure specialists available around the clock via live chat and email to assist with deployment, optimization, and troubleshooting.

	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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Frequently asked questions about AMD Instinct GPU servers

Get answers to common questions about deploying and operating AMD Instinct GPU-accelerated bare metal servers for AI training, inference, and high-performance computing applications.

What are AMD Instinct accelerators and which workloads benefit most?

AMD Instinct accelerators are enterprise-grade compute GPUs engineered for artificial intelligence, machine learning, large language models, and high-performance computing applications. Built on CDNA architecture optimized for compute rather than graphics, they excel at deep learning training and inference, scientific simulations, computational fluid dynamics, molecular modeling, and data analytics requiring massive parallel processing capabilities.

How does MI300A differ from the MI200 accelerator series?

The MI300A represents AMD's latest APU architecture, integrating AMD Instinct GPU with 24-core AMD EPYC™ Zen 4 CPU on a unified 192GB HBM3 memory substrate powered by 3rd Gen Infinity Architecture. This eliminates traditional CPU-GPU data transfer bottlenecks. The MI200 series (MI250X, MI250, MI210) are discrete GPU accelerators featuring 2nd Gen CDNA architecture with multi-chip design, offering up to 8 Infinity Fabric™ links per GPU for exceptional multi-accelerator scalability.

What is the typical deployment time for AMD Instinct servers?

Instant delivery servers are typically provisioned within 3-10 minutes following payment verification. Custom configurations deploy based on component availability. All AMD Instinct servers support instant OS reload without requiring support tickets, enabling rapid iteration. Network infrastructure is optimized for sustained high-throughput workloads and low-latency connectivity.

Which software frameworks and tools support AMD Instinct GPUs?

AMD Instinct accelerators run on ROCm (Radeon Open Compute), an open-source GPU computing platform supporting PyTorch, TensorFlow, JAX, ONNX Runtime, and other leading ML frameworks. ROCm includes HIP (Heterogeneous-Compute Interface for Portability) enabling straightforward CUDA code porting, plus optimized libraries for linear algebra, FFT, random number generation, and deep neural networks. Full container support via Docker and Kubernetes enables production-scale AI/ML deployment.

What memory configurations are available with AMD Instinct servers?

The MI300A APU provides 192GB unified HBM3 (High Bandwidth Memory) accessible to both GPU and CPU cores, eliminating memory transfer overhead for data-intensive applications. MI200 series accelerators feature high-bandwidth HBM2e memory optimized for large-scale neural network training and inference. This substantial memory capacity supports training foundation models, processing extensive datasets, and executing complex simulations without host-accelerator memory shuffling.