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Initial distributed serving skeleton: per-GPU workers + load balancer
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<h1>Distributed LLM Inference Platform</h1>
<p>Multi-GPU LLM serving: one model worker per GPU, with a load balancer that routes each request to the least-busy worker.</p>
<p>Work in progress. Throughput and latency benchmarks will be published here.</p>
<p>Code: <code>server/worker.py</code> · <code>server/load_balancer.py</code></p>
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