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V100 的 Volta 架构 Tensor Core 仅支持 FP16/FP32 混合精度，不具备原生 FP8 矩阵乘法指令，FP8在V100上无法获得算力加速

1

Sources

50%

Confidence

Long-term

Relevance

7/22/2026

First Seen

Sources

V100显卡选购对决：4×16G PCIe与2×32G SXM哪个更值？

Related Claims

UnverifiedV100 所属的 Volta 架构不具备原生 FP8 硬件加速支持，FP8 原生支持始于 Hopper 架构的 H10080% similar UnverifiedV100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75% similar Unverified全量微调现在在 V100 等不支持 bf16 的 GPU 上使用正确的精度74% similar UnverifiedNVIDIA 在 Blackwell 架构（SM 100/103，如 B100、B200 系列）中为 NVFP4 设计了专用 Tensor Core 指令 mma.kind::mxf4，并采用每 16 个元素为一组的 FP8 缩放因子机制74% similar UnverifiedTensorRT支持FP32/FP16/INT8/FP8多种精度校准73% similar

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