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Qwen3.6-27B benchmarked with SGLang on 4x 5060 Ti GPUs

A user on Reddit shared benchmark results for running the Qwen3.6-27B model on a setup with four Nvidia RTX 5060 Ti GPUs, totaling 64GB of VRAM. The benchmark utilized SGLang, a framework that appears to handle higher concurrency more effectively than VLLM in this specific configuration. The user provided detailed performance metrics, including throughput, latency, and time to first token, along with the SGLang script and benchmark command used. AI

IMPACT Demonstrates SGLang's potential for higher concurrency in local LLM deployments.

RANK_REASON User-shared benchmark of a specific model and framework configuration.

Read on r/LocalLLaMA →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Qwen3.6-27B benchmarked with SGLang on 4x 5060 Ti GPUs

COVERAGE [1]

  1. r/LocalLLaMA TIER_1 English(EN) · /u/joorklee ·

    Benchmark - 4x 5060 Ti (64GB VRAM) (P2P) - Qwen3.6 27B (INT8 /w bf16 kv cache) @ 8 concurrency with SGLang. SGLang seems to handle higher concurrency better with this setup

    <!-- SC_OFF --><div class="md"><p>I recently posted some posts with VLLM showing issues with TTFT and concurrency with 4x 5060 ti's. Wanted to share this benchmark to provide what worked for me so other people that are planning to go the 4x 5060 ti route aren't discouraged.</p> <…