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Qwen3.6 27B on 1x 10 GB (SGLang W8A8)

From CMP Wiki
Qwen3.6-27B, Avesed/Qwen3.6-27B-INT8-W8A8
Reported 1 x 10 GB
QuantINT8 W8A8 (compressed-tensors, dynamic)
EngineSGLang 0.5.16 (fdebc938); Triton 3.6.0, FlashInfer 0.6.14, PyTorch 2.11.0+cu130
Topologysingle card, in a KVM virtual machine
LinksPCIe Gen1 x4, no P2P
Context24,576 tokens (the total token pool at one request; 20,480 at four)
Decode, 1 user90.26 tok/s
Decode, many users269.31 tok/s total, 4 users
Prefill4122.16 tok/s at 2048 tokens
Speculative decodingMTP (EAGLE), 3 steps, 4 draft tokens
Measured asSGLang serving bench, temperature 0; 1 user: 1,024 in, 8,192 out; 4 users: 2,048 in and out
VRAM per card40 GiB profile (40,960 MiB)
Power cap250 W
Driver610.43.02 (CUDA 13.3.73)
FlagsMTP through EAGLE, 3 steps, top-k 1, 4 draft tokens; page size 64; chunked prefill 2,048 tokens; static memory fraction 0.94
Tested on 2026-07-31
Sourcelink
ConfirmationsNone yet.

A published benchmark of Qwen3.6-27B (W8A8) on SGLang 0.5.16 on one 10 GB card at 40 GiB, at a 250 W limit, with and without MTP. The repository holds the scripts, configs and results; its author also ran an 8 GB card at 64 GiB separately (two runs, not a controlled A/B). makesier and yuiayanami posted it on the Discord. Source: repo github.com/Ciender/CMP-170HX-SGLang-Qwen3.6-Benchmarks by Ciender on GitHub, posted by @makesier, 2026-08-01
Source: @yuiayanami, 2026-08-01

Notes

All numbers from the repository's 10 GB results page, run on 2026-07-31. Source: repo github.com/Ciender/CMP-170HX-SGLang-Qwen3.6-Benchmarks by Ciender on GitHub

  • One request at 1,024 tokens in and 8,192 out: 41.62 tok/s end to end with MTP off and 90.26 with MTP on (2.17x). Across the single-request cases MTP gave 1.79x to 2.27x; mean acceptance length was 2.91 to 3.50 tokens.
  • Four concurrent requests at 2,048 in and 2,048 out: 146.73 tok/s in total with MTP off and 269.31 with MTP on.
  • Prefill at a 2,048-token prompt: 4,428.56 tok/s with MTP off and 4,122.16 with MTP on; MTP raised the median time to first token by 4.8% to 12.7%.
  • Test setup: PCIe at 2.5 GT/s x4 during the test (the card can do 5 GT/s x16); a KVM virtual machine with 44 vCPU of Xeon E5-2680 v4 and 24 GiB of RAM; driver 610.43.02. The token pool was 24,576 tokens at one request and 20,480 at four, so the longest cases were skipped.
  • makesier found decode not very impressive and prefill good; Luna noted that the 40 GB configuration runs the memory notably slower than 64 GB. Source: @makesier, 2026-08-01
    Source: @lunaroseoc, 2026-08-01

Sources