Unverified50% confidenceFactExact time
FP8 is a low-precision data format introduced by NVIDIA in the Hopper and Ada Lovelace architectures, with the Ada architecture's Tensor Cores natively supporting FP8 operations.
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50%
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Long-term
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10/4/2026
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UnverifiedFP8 is a low-precision format designed specifically for deep learning inference acceleration; compared to FP16, it can reduce model memory footprint by half and achieve inference speedups on hardware that supports FP8 (such as NVIDIA H100 and RTX 40-series GPUs).74% similarVerifiedAda Lovelace架构（RTX 40系列）具备FP8 Tensor Core支持73% similarUnverifiedThe Tensor Cores of the Ampere and Ada Lovelace architectures support hardware acceleration at a minimum precision of INT8/FP8; running 4-bit models requires software dequantization.73% similarUnverifiedFP8由NVIDIA在Hopper架构（H100）中引入硬件原生支持，随后在Ada Lovelace（RTX 40系）和Blackwell（RTX 50系）架构中持续完善73% similar
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