Vertex Cover tuned vLLM for Qwen3.6 27B

After manual fine-tuning and configuration changes to vLLM, authors achieved a 64% increase in throughput and reduced P99 latency by 50% when serving the Qwen3.6 27B model for an entity extraction task. The authors found that optimizing memory for the KV cache through FP8 quantization, tensor parallelism, and FlashInfer was essential under high concurrency. They ultimately concluded that automating the search loop with an agent is more efficient than manual tuning. Open article →