# AMD ROCm ROCm is AMD's open-source GPU computing platform: an end‑to‑end ecosystem of compilers, runtimes, and libraries for AI, HPC, and domain‑specific workloads. It is open source, cross‑platform (Linux and Windows), and optimized for AMD Instinct™, AMD Radeon™, and AMD Ryzen™ AI devices. ::::{grid} 1 1 2 2 :gutter: 3 :::{grid-item-card} Core SDK The foundational libraries, runtimes, and tools for GPU computing on AMD hardware — math and compute libraries, communication primitives, HIP runtime, profiling and debugging tools, and more. - [Install the ROCm Core SDK](./install/rocm) - [ROCm {{ ROCM_VERSION }} compatibility](./compatibility/compatibility-matrix) +++ [Go to Core SDK docs](about/release-notes) ::: :::{grid-item-card} AI Ecosystem Full-stack documentation and recipes to deploy AI workloads on AMD GPUs using popular ROCm-enabled frameworks. - Deep learning frameworks - [PyTorch](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/frameworks/pytorch/install.html) - [JAX](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/frameworks/jax/install.html) - Inference - [vLLM](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/inference/vllm.html) - [SGLang](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/inference/sglang.html) +++ [Go to AI Ecosystem docs](https://rocm.docs.amd.com/projects/ai-ecosystem/en/latest/index.html) ::: :::{grid-item-card} GPU Systems and Infrastructure Deployment and operations guidance for AMD Instinct GPUs at scale, including AMD GPU Driver installation, cluster management, GPU partitioning, monitoring, virtualization, cloud deployments, and containers. - [AMD GPU Driver (amdgpu)](https://instinct.docs.amd.com/projects/amdgpu-docs/en/latest/) - [Network Operator (Kubernetes)](https://instinct.docs.amd.com/projects/network-operator/en/latest/overview.html) +++ [Go to GPU Systems docs](https://instinct.docs.amd.com) ::: :::{grid-item-card} Toolkits Open-source collections of ROCm-accelerated libraries for building high-performance domain-specific applications. - [ROCm Data Science](https://rocm.docs.amd.com/projects/rocm-ds/en/latest/index.html) - [ROCm Finance](https://rocm.docs.amd.com/projects/rocm-finance/en/latest/index.html) - [ROCm Life Science](https://rocm.docs.amd.com/projects/rocm-ls/en/latest/index.html) - [ROCm LLMExt](https://rocm.docs.amd.com/projects/rocm-llmext/en/latest/index.html) - [ROCm Simulation](https://rocm.docs.amd.com/projects/rocm-simulation/en/latest/index.html) ::: ::::