Unverified50% confidenceBenchmarkExact time
V100的Tensor Core在FP16精度下峰值算力可达125 TFLOPS，是前代Pascal架构的5倍以上
1
Sources
50%
Confidence
Long-term
Relevance
7/22/2026
First Seen
Sources
Related Claims
UnverifiedThe H100's fourth-generation Tensor Core natively supports FP8, with a peak compute of 3958 TFLOPS, which is twice that of FP16.80% similarVerifiedThe H100 GPU adopts NVIDIA's Hopper architecture, with a single-card peak compute of 3,958 TFLOPS (FP16 precision).79% similarUnverifiedNative FP8 hardware acceleration was first implemented in the fourth-generation Tensor Cores of the NVIDIA Hopper architecture (H100, 2022), with a peak throughput of 3958 TFLOPS.77% similarUnverifiedThe matrix multiplication implementation in the cuBLAS library can approach the theoretical peak of 125 TFLOPS on a V100 GPU, which is more than 100 times greater than a naïve triple-loop implementation75% similarUnverifiedTensorRT supports multiple precision calibrations including FP32, FP16, INT8, and FP875% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/586043API
curl https://kongchang.com/api/v1/knowledge/claims/586043MCP
get_claim(id=586043)