AMD Instinct MI210 accelerators

AMD Instinct MI210 accelerators power enterprise, research, and academic HPC and AI workloads for single-server solutions and more.

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AMD Instinct MI 210

AMD Instinct™ MI210 accelerators

AMD Instinct MI210 accelerators power enterprise, research, and academic HPC and AI workloads for single-server solutions and more.

AMD Instinct™ GPU Server Solutions: AMD collaborates with leading Original Equipment Manufacturers (OEMs), and platform designers to offer a robust ecosystem of AMD Instinct™ GPU-powered solutions. Discover a diverse portfolio of solution offerings below for AI and HPC deployments.

Accessible in the Cloud : AMD Instinct GPU instances are available in the cloud to meet the scalability, flexibility, and performance demands of complex compute workloads like AI.

Experience AMD Instinct GPUs in the Cloud : Support your AI, HPC, and software development needs with programs supported by leading cloud service providers.

AMD ROCm

TM

Software

Open Software. Exascale Proven. Enterprise Ready.

AMD ROCm™ software is the open, high‑performance AI and HPC software stack designed to power AMD Instinct™ GPUs across research labs, enterprises, sovereign AI programs, and hyperscale datacenters. ROCm software converts low-level GPU innovation—compiler optimizations, fused kernels, tuned math libraries, communication layers—into real, measurable results for training and inference at scale.

Leadership Performance - AMD ROCm™ software delivers leadership-class AI and HPC

performance by translating an open, vendor-agnostic design into reproducible results

from kernels to clusters. Proven at exascale on leadership systems such as Frontier and El

Capitan, ROCm coordinates massive multi-GPU execution and scale-out communication

so utilization stays high as models and clusters grow. ROCm 7 strengthens this

performance backbone with fused transformer execution, native low-precision compute

paths (FP8/FP6/FP4), Stream-K GEMM load balancing, and AITER drop-in kernels-so large

models train and serve efficiently without fragile, per-model tuning.

Openness and Portability - Built upstream-first and aligned to open standards, ROCm

delivers performance without lock-in and preserves software investments with minimal

code changes when porting to AMD Instinct™ GPUs. This portability lets teams realize

lower TCO by leveraging Instinct advantages such as larger memory and flexible partitioning—running larger or more concurrent models within the same memory

footprint at scale

Day-0 Ecosystem Readiness - Teams can move quickly using familiar frameworks and

engines, including PyTorch, TensorFlow, JAX, ONNX Runtime, vLLM v1, and SGLang.

Distributed inference features such as prefill/decode disaggregation and KV-cache

optimizations help sustain responsiveness as serving scales out.

Datacenter Scale Operations - ROCm is engineered for production fleets: the AMD GPU

Operator supports automated deployment and upgrades, Device Metrics Exporter

enables observability, upgrades across large AMD Instinct™ GPU fleets, and a modular

AMD Instinct™ GPU driver supports more predictable lifecycle management—even in

air-gapped environments.

Exascale Proven - The same open stack underpins leadership systems such as Frontier

and El Capitan, bringing exascale-grade rigor to enterprise AI and HPC deployments. In

AMD testing with a preview of AMD ROCm™ 7 on 8× Instinct™ MI300X, average

inference throughput improved 3.5× versus a sub-release of ROCm 6.0 with vLLM [2], and

training was up to 3× faster versus ROCm 6.0 with Megatron-LM [3].

AI Researchers & Academic Labs

AMD ROCm™ software accelerates cutting-edge AI research with open, high-performance foundations proven at exascale. Researchers benefit from fused transformer operations, AITER attention/GEMM/MoE kernels, Stream-K GEMMs, and native FP8/FP6/FP4 support that speed model experimentation without sacrificing numerical rigor. ROCm integrates upstream with PyTorch, JAX/OpenXLA, MLIR, and Triton, ensuring workflows remain modern, portable, and reproducible across institutions and compute environments. Open tooling, transparent kernels, and upstream-first development support publishable results and long-term scientific reproducibility—while ROCm’s role in leadership supercomputers such as Frontier and El Capitan demonstrates reliability, precision, and scale at the highest levels of science.

Model Developers, ML Engineers & Applied AI Teams

AMD ROCm™ software lets developers move from prototype to production without changing workflows. With day-0 support for PyTorch, TensorFlow, JAX, ONNX Runtime, Triton, vLLM v1, SGLang, and Megatron-LM, teams adopt ROCm using the frameworks and engines they already rely on. High-throughput training and inference performance comes from fused kernels, AITER attention/GEMM/MoE operators, and Stream-K GEMMs that raise

utilization while reducing per-model tuning. AMD Quark provides ready-to-deploy low-precision models (FP8, FP4, MXFP4) to accelerate production efficiency, while ROCm scales seamlessly from a single Instinct™ GPU to large multi-GPU clusters—without re-architecting code.

Infrastructure, Datacenter & Platform Engineering Teams

AMD ROCm™ is built for operator-grade AI at datacenter scale. The AMD GPU Operator integrates ROCm with Kubernetes to automate deployment, upgrades, and configuration across clusters—including air-gapped environments. Device Metrics Exporter delivers Prometheus-ready telemetry for observability and fleet monitoring, while a decoupled Instinct™ GPU driver provides predictable lifecycle management suitable for enterprise operations. At scale, ROCm sustains reliable multi-node performance through RCCL collectives, optimized KV-cache handling, and DeepEP compute-communication overlap—supporting both distributed training and high-throughput inference with consistency and control.

Enterprise & Commercial Technology Buyers

AMD ROCm™ software delivers open, scalable AI infrastructure without proprietary lock-in. Built on open standards and upstream collaboration, ROCm provides long-term stability, predictable release cycles, and maintainable software foundations for enterprise deployment. The platform scales efficiently across both large-scale training and high-volume inference workloads in modern datacenters, helping organizations control costs while preserving vendor flexibility. ROCm’s credibility is reinforced by its role in global enterprise deployments and leadership HPC systems, giving buyers confidence in performance, reliability, and long-term viability.

Sovereign AI, Government, and HPC Leadership

AMD ROCm™ enables sovereign AI and HPC with openness, transparency, and exascale-proven trust. The stack supports verifiable standards-aligned AI development—preserving reproducibility and scientific integrity inherited from ROCm’s foundational role in exascale HPC programs. Open software ensures strategic autonomy, allowing nations to deploy, extend, and maintain AI infrastructure without dependence on proprietary ecosystems. With demonstrated longevity across government and research cycles, ROCm provides sustained access to tools, kernels, and frameworks for national-scale AI and science initiatives.

OEM/ODM Partners & System Builders

AMD ROCm™ is the fully validated software stack for AMD Instinct™ GPU platforms. AMD validates key frameworks, drivers, containers, and libraries directly on Instinct GPUs to deliver strong, predictable, and supportable performance across all Instinct generations. Systems built with ROCm inherit a known-good software environment that reduces integration risk and accelerates time-to-market.