NVIDIAAnalysisScienceOctober 29, 2026

NVIDIA details Tensor Core FP32 emulation for ML interatomic potentials

Read original source →developer.nvidia.com

NVIDIA's post evaluates Tensor Core methods that decompose FP32 operands into lower-precision components and recombine results in FP32, boosting matmul throughput while keeping accuracy near native FP32. The approach needs no retraining or changes to model weights or architecture, addressing why many MLIPs still run inference in FP32.

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