Enabling Physical AI on AMD
Enabling Physical AI on AMD In this beginner-to-intermediate session, users will execute multimodal vision and language models for robotics on the Ryzen™ AI iGPU via ROCm and Python.The session…
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Enabling Physical AI on AMD
Enabling Physical AI on AMD In this beginner-to-intermediate session, users will execute multimodal vision and language models for robotics on the Ryzen™ AI iGPU via ROCm and Python.The session…
AMD Ryzen™ AI Developer Platform: Open, Ready, and Built for AI
…July 06, 2026 AMD Ryzen™ AI Halo Now Available at Micro Center Ryzen AI Halo launches at Micro Center, powering agentic PCs for developers building larger, next-generation local AI applications. July…
Accelerating LLM Startup on AMD Ryzen AI with Two-Phase Custom Op Initialization
…May 26, 2026 AI Inference on AMD Ryzen™ AI Max Processor — ROCm Blogs Hands-on: run Qwen3.5 9B–122B on Ryzen™ AI Max+ with 128GB UMA and Ollama, with generation benchmarks…
ROCm™ AI Developer Hub
…R1 reasoning model with Unsloth Fine-tune Llama-3.1 8B using ROCm on AMD Instinct™ GPUs with Unsloth . Personal AI Agent with OpenClaw and Qwen3.5-122B Deploy a fully local…
Optimizing GEMM + Activation on CDNA4 with TLX
…August 05, 2026 Autoregressive Drift on AMD GPUs Explore AI-driven quantum circuit optimization with transformer models trained on AMD Instinct™ GPUs. August 05, 2026 Introducing AMD Instinct™ Coder: A Turnkey AI…
Build Without Limits Using AWS Cloud
…Through a deep dive into the University of Cambridge's Tessera model, learn how organizations can accelerate AI deployment, improve operational efficiency, and scale globally. The session also highlights real-world AI…
Build for What's Next in AI with Supermicro
…Through a deep dive into the University of Cambridge's Tessera model, learn how organizations can accelerate AI deployment, improve operational efficiency, and scale globally. The session also highlights real-world AI…
Accelerating the Next Era of AI: Celestica Scale-Up Switching
…Through a deep dive into the University of Cambridge's Tessera model, learn how organizations can accelerate AI deployment, improve operational efficiency, and scale globally. The session also highlights real-world AI…
Accelerate llama.cpp on AMD EPYC: ZenDNN Delivers Up to 4.5x the Prompt Processing
…Millions of developers reach for it first when they want to run a model locally. The catch: on AMD EPYC™ processors, llama.cpp has historically leaned on generic CPU kernels that leave…