AI at AMD

Join us for our next Ask the Experts session on Discord, a live, technical AMA for AI developers and practitioners!

Learn how to bring real AMD GPU testing into your CI pipeline, so every commit is validated on the hardware it will actually run on, not on mocks or CPU fallbacks: discord.com/invite/amd-dev…

How much can you fit into 192GB of unified memory?

Larger local AI workloads. Multiple local agents. More room to experiment.

See what’s possible with AMD Ryzen™ AI Max+ PRO 495 processors.

Day 0 support: Kimi K3.1 Pro on AMD Instinct MI355X

2.8T params, 1M context, open weights. Runs on 8x MI355X with ATOM and vLLM.

Recipes, kernels and benchmarks: amd.com/en/developer/r…

Make LLM optimization on AMD GPUs easier with two new AMD Quark Skills!

AMD Skills provide agents with knowledge, scripts, and conventions for working with AMD hardware and software.

New skills:
➡️ quark-install: Simplify AMD Quark environment setup.
➡️ quark-torch-llm-ptq: Quantize LLMs like Llama, Qwen, and Mistral to 8-bit or 4-bit.

Just ask your agent: "Quantize Qwen/Qwen3-8B to FP8 with Quark."

Explore: github.com/amd/skills

One click. Hands-on with AMD GPUs.

Five AMD Developer Hub tutorials now launch directly in AMD Developer Cloud on AMD Instinct MI300 GPUs, with preconfigured environments ready to run.

These can now be launched in a single click:

- AI agent with MCPs using vLLM and PydanticAI (Inference)
- Running ComfyUI generative workflows from Python on AMD Instinct GPUs (Inference)
- OCR with vision-language models with vLLM (Inference)
- Fine-tune Llama-3-8B with Llama-Factory (Fine-tuning)
- Kernel development and optimization with Triton (GPU Development & Optimization)

Choose a tutorial and click “Open in AMD Developer Cloud” to get started: rocm.docs.amd.com/projects/ai-de…

AMD Developer Cloud sign-in required.