NVIDIA published a version of DeepSeek's V4-Pro model rebuilt to use its own compressed number format, NVFP4, for faster running on Blackwell B200 graphics chips. Benchmark scores across reasoning, coding and tool-use tests are within about a point of the original in both directions. It runs only on the SGLang serving engine, and DeepSeek's built-in speed-up module was left untested in this release.
What changed
DeepSeek-V4-Pro-0813 shipped its routed experts in the MXFP4 number format.
What it unlocks
Running DeepSeek's 1.65-trillion-parameter model on NVIDIA Blackwell B200 hardware in NVIDIA's own NVFP4 format with near-identical benchmark scores.
- 1.65T params, 49B activated
- 1M token context
- 88.42 vs 88.51 GPQA Diamond
- 384 experts, 8-way parallel
What you need to act on it
- NVIDIA Blackwell B200 GPUs
- SGLang runtime on Linux
- 8-way model parallelism
Sources