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@charles_irl

Dozens of teams have asked my advice on running LLMs. How fast is @deepseek_ai V3 with vLLM on 8 GPUs? What's the max throughput of @Alibaba_Qwen 2.5 Coder with SGLang on one H100? Running & sharing benchmarks ad hoc was too slow So we built a tiny app, the LLM Engine Advisor https://t.co/FJP0oVUEye

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                                  "text": "Very cool. There is another metric Iโ€™m dying for that I think is missing here.\n\nMax batch token throughput.\n\nVllm streaming batches and batch throughput gives massive efficiency gains for throughput for data generation. 10-100x depending on size of the kv cache.\n\nAlso what is the slowdown for concurrent requests. Sometimes each request can be 1.2x-2x as slow, but still trade off is fine for batch data. But different for serving inference users.\n\nBasically tools to decide max parallel requests setting for vllm.",
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