Hyperloom Workload Optimizer

AMD

Autonomously optimizes end-to-end LLM inference throughput on AMD Instinct GPUs and reports a validated gain, using the Hyperloom multi-agent optimizer. Given a model, framework, workload (TP/EP, concurrency, ISL/OSL, precision), an objective and a time budget, it explores per-workload which levers to pull (serving/config parameters and env, framework enablement and source patches, and hot…

Install

npx skills add amd/skills --skill hyperloom-workload-optimizer

npx skills add amd/skills --skill hyperloom-workload-optimizer -a claude-code -g

npx skills add amd/skills --skill hyperloom-workload-optimizer -a codex -g

gemini skills install https://github.com/amd/skills.git --path skills/hyperloom-workload-optimizer

gh skill install amd/skills hyperloom-workload-optimizer

git clone --depth 1 https://github.com/amd/skills /tmp/amd__skills
mkdir -p ~/.claude/skills ~/.agents/skills
cp -R /tmp/amd__skills/skills/hyperloom-workload-optimizer ~/.claude/skills/hyperloom-workload-optimizer   # Claude Code
cp -R /tmp/amd__skills/skills/hyperloom-workload-optimizer ~/.agents/skills/hyperloom-workload-optimizer   # Codex, Cursor, Gemini CLI, Copilot, OpenCode

Install

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