# Tuning GPU Performance with AI Agents | AMD’s Anush Elangovan on ROCm 10 Page: https://stenobird.com/podcast/chain-of-thought-ai-agents/tuning-gpu-performance-with-ai-agents-amd-s-anush-elangovan-on-rocm-10 Text version: https://stenobird.com/podcast/chain-of-thought-ai-agents/tuning-gpu-performance-with-ai-agents-amd-s-anush-elangovan-on-rocm-10.md Podcast: [Chain of Thought | AI Agents, Infrastructure & Engineering](https://stenobird.com/podcast/chain-of-thought-ai-agents) Published: 2026-09-09T11:30:00+00:00 Episode link: https://share.transistor.fm/s/38649c6c Audio file: https://media.transistor.fm/38649c6c/94aff96c.mp3 Processing state: not_requested JSON: https://stenobird.com/v1/public/podcasts/chain-of-thought-ai-agents/episodes/tuning-gpu-performance-with-ai-agents-amd-s-anush-elangovan-on-rocm-10 Duration seconds: 3165 ## Resource AMD’s Anush Elangovan explains how AI agents profile GPU workloads, tune kernels, and keep searching for better performance with Hyperloom and ROCm 10. He and Conor Bronsdon discuss easier deployment, reliable optimization, and the engineering work that comes next. ## Actions - request_transcript: `POST https://stenobird.com/v1/public/podcasts/chain-of-thought-ai-agents/episodes/tuning-gpu-performance-with-ai-agents-amd-s-anush-elangovan-on-rocm-10/transcription-requests` — Idempotently request low-priority transcript generation for this episode. - read_markdown: `GET https://stenobird.com/podcast/chain-of-thought-ai-agents/tuning-gpu-performance-with-ai-agents-amd-s-anush-elangovan-on-rocm-10.md` — Read the agent-friendly Markdown representation of this episode resource. A page view does not enqueue transcription. Agents should invoke `request_transcript` explicitly when they need this episode processed. ## Transcript Full transcripts are not published on public pages unless there is a clear rights basis.