Verified75% confidenceFactExact time
NVIDIA designed a dedicated Tensor Core instruction mma.kind::mxf4 for NVFP4 in the Blackwell architecture (SM 100/103, such as the B100 and B200 series), and adopted an FP8 scaling factor mechanism with one scale per group of 16 elements.
3
Sources
75%
Confidence
Long-term
Relevance
7/10/2026
First Seen
Sources
Related Claims
VerifiedThe NVIDIA Blackwell architecture (GB200/B200 series) introduces native FP4 tensor cores at the hardware level81% similarUnverifiedNVIDIA's Blackwell architecture (B100/B200) natively supports matrix operations in MXFP4 format at the hardware level, with throughput nearly doubling compared to FP8.79% similarUnverifiedNVFP4在NVIDIA Blackwell架构的Tensor Core中获得了原生硬件支持，无需额外的反量化计算开销79% similarVerifiedNVFP4 is a 4-bit floating-point (FP4) quantization format introduced by NVIDIA, designed specifically for the hardware acceleration capabilities of Blackwell architecture GPUs78% similarUnverifiedNVIDIA released an NVFP4 quantized model of Qwen3 235B on Hugging Face; NVFP4 is a 4-bit floating-point format targeting the Hopper and Blackwell architectures with a theoretical compression ratio of 4x.78% similar
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