Unverified70% confidenceFactExact time
The Blackwell architecture introduces fifth-generation Tensor Cores with native support for FP4×FP4 matrix multiply-accumulate operations, using FP32 or FP16 precision for the accumulator.
2
Sources
70%
Confidence
Long-term
Relevance
7/7/2026
First Seen
Sources
Related Claims
UnverifiedBlackwell is NVIDIA's next-generation microarchitecture following Hopper and Ada Lovelace, introducing fifth-generation Tensor Cores to improve FP4/FP6 inference efficiency.82% similarUnverifiedBlackwell架构支持FP4精度计算，FP4是目前商用AI芯片支持的最低精度格式82% similarVerifiedNVFP4 is a 4-bit floating-point (FP4) quantization format introduced by NVIDIA, designed specifically for the hardware acceleration capabilities of Blackwell architecture GPUs78% similarUnverifiedFP8 is a low-precision computing format natively supported by the Blackwell architecture, including two variants—E4M3 and E5M2—and the Tensor Core's FP8 compute throughput is twice that of FP16.77% similarUnverifiedNVFP4 is a Blackwell tensor core format, and the FP4-Local model card explicitly states that Blackwell is the only supported microarchitecture, with Hopper and Ampere not supported.76% similar
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