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User benchmarks 4x RTX 5060 Ti with SGLang for Qwen3.6 27B, finds better concurrency than vLLM

A user shared benchmark results showing that SGLang handles higher concurrency better than vLLM when running Qwen3.6 27B (INT8 with bf16 KV cache) on a 4x RTX 5060 Ti (64GB VRAM) setup. The test achieved 200 successful requests at 8 concurrency over 348.87 seconds, processing 61,870 input tokens and generating 44,525 tokens. This provides a practical reference for others considering multi-GPU configurations with these consumer cards.

3 engagement·1 source·Sun, Jul 12, 2026, 10:47 AM
The user previously reported issues with time-to-first-token (TTFT) and concurrency using vLLM on the same hardware. Switching to SGLang resolved these issues, achieving stable performance at 8 concurrent requests. The benchmark used SGLang's OpenAI-compatible API with infinite traffic request rate. Total input tokens were 61,870, total generated tokens 44,525 (44,476 after retokenization), yielding a request throughput of approximately 0.57 req/s. The setup used 4x NVIDIA RTX 5060 Ti cards with P2P (peer-to-peer) connectivity, totaling 64GB VRAM. The model was Qwen3.6 27B quantized to INT8 with bf16 KV cache. This is a community-driven benchmark, not an official release.

Entities

SGLang(tool)vLLM(tool)Qwen3.6 27B(model)NVIDIA RTX 5060 Ti(tool)

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