AMD's Anush Elangovan explains agent-native ROCm 10: AI agents tuning GPU performance across 14,000 models
AnushElangovan · x · 2026-09-10
AMD Corporate VP of AI Software Anush Elangovan joined Chain of Thought (53 min) to explain how ROCm 10 becomes agent-native:
- Workflow: install ROCm via Claude Code or Codex, then agents profile workloads, find slow kernels, and test optimizations while preserving numerical accuracy
- A Hyperloom run spanning 14,000 models; GEAK tooling and an order of magnitude more CI across every framework
- Discussion of managing autonomous agents (control and liability), security at agent-swarm speed, and enterprise production walls
- Key claim: speed is the moat—success means 'a stranger who cannot spell ROCm serving an LLM'
Also covers why coding was the right reward function for AI and which industries get the next software scale unlock.
Related event: AMD Details ROCm 10: AI Agents Autonomously Optimize GPU Workloads(2 posts)→
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