Benchmarking Qwen3.6 on 4x 5060 Ti GPUs
joorklee · reddit · 2026-07-12
The author shares inference benchmarks from a 4×5060 Ti (64GB VRAM) P2P machine, testing Qwen3.6 27B INT8 + bf16 KV cache under SGLang with high concurrency.
Key results:
- 200 successful requests
- Concurrency around 8, peaking at 11
- Average TTFT 7.5s, median 7.4s
- Average E2E latency 13.7s
- Total throughput 305 tok/s
- The author notes SGLang handles high concurrency better than vLLM on this hardware
The post includes the full startup script covering:
- CUDA and NCCL environment variables
- Skipping P2P checks
- tp-size 4
- Speculative decoding parameters
- Qwen3 parser configurations
The author's goal is to address previous vLLM issues with TTFT and concurrency, reassuring others about the 4×5060 Ti setup.
Related event: 4× RTX 5060 Ti Shows Strong Value for Local Qwen3.6(2 posts)→
More from Infra
- EdgeRock-4B holds KV cache at 72 MiB across 256K context, 99.1% smaller than Qwen3.5-4B — alifcoder · 2026-10-27
- RTX 5080 price jumps from $1658 to $2318 in ten days on Amazon — Frizzy-MacDrizzle · 2026-10-27
- ComfyUI on 12GB VRAM: measured peaks show offloading turns 24s into 11 minutes — Impossible-Mail-4619 · 2026-10-27
- Neon rebuilds its docs search entirely on its own stack: Lakebase Search, Functions, AI Gateway — matei_zaharia · 2026-10-27
- PyTorch details 2.12x faster on-device streaming ASR on Arm SME2 via ExecuTorch — PyTorch · 2026-10-27
- NVIDIA shows speculative decoding speeding up LLM inference on Jetson with Qwen3.5 9B — NVIDIA Developer · 2026-10-27