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hyperloom: A Multi-Agent Harness for Autonomous Inference Optimization on AMD GPUs %E2%80%94 ROCm Blogs #607
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Multi-agent tuning for inference is a fresh angle, most tooling ive touched is still single-shot. the coordination overhead between agents is what id want to see numbers on. does it actually beat a tuned single pass on mi300. or is the gain mostly on weird edge models. either way the harness idea is neat. anyone got it running on their own stack yet? |
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hyperloom: A Multi-Agent Harness for Autonomous Inference Optimization on AMD GPUs %E2%80%94 ROCm Blogs
Hyperloom is a multi-agent harness that autonomously optimizes LLM inference on AMD Instinct GPUs, reaching a median 1.73x throughput gain.
https://rocm.blogs.amd.com/software-tools-optimization/hyperloom-optimization/README.html
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