4× RTX PRO 6000
235tok/sEveryday
1 request, prose prompt, context 19, with DSpark (per recipe) Source
Intelligence34with thinking
- Custom kernel required
Local AI · Recipe · 2× RTX PRO 6000
DeepSeek-V4-Flash NVFP4 with vLLM on 2× RTX PRO 6000
DeepSeek-V4-Flash NVFP4 with vLLM on 2× RTX PRO 6000: 103 tok/s according to github.com (dataset as of Nov 3, 2026).
by Infatoshi
Engine
- Engine
- vLLM 0.26.1rc1.dev303+g74295e3bd
- Quantization
- NVFP4 (Experten; Marlin W4A16), fp8 KV (block 256)
- Model family
- DeepSeek-V4-Flash
- Context
- 262,144
- Creator
- Infatoshi
- GitHub stars
- 15
- Repo updated
- Aug 25, 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
What you need
- Hardware
- 2 × NVIDIA RTX PRO 6000 Blackwell
- Weights
- Main weightsMJPansa/DeepSeek-V4-Flash-0731-NVFP4 MIT
- Engine
- vLLM 0.26.1rc1.dev303+g74295e3bd
- Context
- 262,144 tokens
Notes
What matters before you rebuild it.
- Custom kernel required
Sources
- github.com/Infatoshi/dsv4-flash-2x-rtxpro6000s/blob/main/docs/BENCHMARKS.md#concurrency-x-input-length-x-spec-vs-base
- github.com/Infatoshi/dsv4-flash-2x-rtxpro6000s/blob/main/docs/BENCHMARKS.md#long-context
- github.com/Infatoshi/dsv4-flash-2x-rtxpro6000s
- github.com/Infatoshi/dsv4-flash-2x-rtxpro6000s/blob/main/docs/BENCHMARKS.md
- github.com/Infatoshi/dsv4-flash-2x-rtxpro6000s/blob/main/scripts/serve_256k_marlin.sh
- github.com/Infatoshi/dsv4-flash-2x-rtxpro6000s/blob/main/bench/bench.py
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