Summary
This report benchmarks the Mistral-Small-4-119B-2603 NVFP4 model on an RTX Pro 6000 GPU using SGLang. It details inference speeds (tokens/s) across varying context lengths (1K-256K) and concurrent user requests (1-5), without prompt caching or speculative decoding. The results provide practical data on performance degradation as context and user load increase, offering valuable insights for optimizing local LLM deployments.
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