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
- Is inference latency becoming the biggest bottleneck for production AI agents? — Euphoric_Sea632 · 2026-09-11
- LLM Serving Metrics Thread: Why TPOT and Uptime Make or Break User Experience — abhijithneil · 2026-09-11
- PlanetScale launches sharded Postgres: 768 servers acting as one, 1PB scale — dhruv2038 · 2026-09-11
- Can a 7900 XTX 24GB run Qwen locally? Reddit seeks ROCm tok/s benchmarks — thenomadexplorerlife · 2026-09-11
- RTK Terminal Compression Cuts Tokens but Leaves Your AI Coding Bill Unchanged — Bartaseth · 2026-09-11
- SF Compute founder: buying compute is 'an absolutely awful experience' right now — IgorCarron · 2026-09-11