1× Mac
155tok/sEveryday
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Intelligence40with thinking
- Experimental
- License unclear
Local AI · Recipe · 1× RTX PRO 6000
Qwen3.8-Flash-Next 125B NVFP4 with SGLang on 1× RTX PRO 6000
Qwen3.8-Flash-Next 125B NVFP4 with SGLang on 1× RTX PRO 6000: 207 tok/s according to github.com (dataset as of Nov 3, 2026).
by jpezzulli
Engine
- Engine
- SGLang
- Quantization
- NVFP4 (ModelOpt) + optional online FP8
- Model family
- Qwen3.8-Flash-Next
- Context
- 524,288
- Parameters
- 125B MoE
- Creator
- jpezzulli
- GitHub stars
- 188
- Repo updated
- Nov 2, 2026
Measurements
Every sourced value of this recipe, each with its condition and source. Bars relative to the largest value in the group.
Decode · 1 request
Prefill by context
Time to first token
Shorter is better.
What you need
- Hardware
- 1 × NVIDIA RTX PRO 6000 Blackwell
- Weights
- Main weightsRadixArk/Qwen3.8-Flash-Next-NVFP4 other
- Engine
- SGLang
- Context
- 524,288 tokens
Notes
What matters before you rebuild it.
- Custom kernel required
- License unclear
Sources
- github.com/jpezzulli/sglang-rtxpro6000/blob/pennyroyal-main-sm120-final/RESULTS.md#pennyroyal-v250--optional-online-fp8
- github.com/jpezzulli/sglang-rtxpro6000/blob/pennyroyal-main-sm120-final/RESULTS.md#pennyroyal-v240--prefill-and-maintenance
- github.com/jpezzulli/sglang-rtxpro6000/blob/pennyroyal-main-sm120-final/RESULTS.md
- github.com/jpezzulli/sglang-rtxpro6000/blob/pennyroyal-main-sm120-final/RESULTS.md#flash-next-agentic-session--september-6-2026
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