Unverified80% confidenceFactTime unknown
TensorRT-LLM专门为Blackwell引入了FP4量化推理路径，并针对Blackwell的新型Tensor Core单元重写了GEMM内核
1
Sources
80%
Confidence
Long-term
Relevance
5/31/2026
First Seen
Sources
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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.69% similarUnverifiedNVIDIA 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.68% 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 FP16.66% similarUnverifiedThe NVIDIA Blackwell architecture (B200/GB200) supports FP4 computation, theoretically doubling Tensor Core throughput once again.65% similarUnverifiedThe Blackwell architecture's 5th-generation RT Core improves ray tracing performance by approximately 2x, and Tensor Core support for FP4 precision doubles AI inference throughput.62% similar
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