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Auto-tuning vllm

Talkat DevConf.US 2025 · 2025-09-19..09-20· [large-language-models, machine-learning]
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Autotuning vLLM experiments use Optuna (TPE, BoTorch, grid) and MLPerf benchmarks to search config space for Qwen3-32B-FP8 and Qwen3-30B-A3B-FP8, comparing against vLLM defaults. Results show a best-case 35% throughput increase while achieving an 8.5% latency decrease, earlier runs give ~30% throughput on Qwen and ~9% tokens/sec gain on Llama 3.1 on a single L40S. Harness runs parallel trials across GPUs and proves autotuning viable.

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