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GitHub / NVIDIA / TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit floating point (FP8) precision on Hopper and Ada GPUs, to provide better performance with lower memory utilization in both training and inference.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVIDIA%2FTransformerEngine

Stars: 1,474
Forks: 228
Open Issues: 123

License: apache-2.0
Language: Python
Repo Size: 4.4 MB
Dependencies: 7

Created: over 1 year ago
Updated: 1 day ago
Last pushed: 2 days ago
Last synced: about 23 hours ago

Topics: cuda, deep-learning, fp8, gpu, jax, machine-learning, python, pytorch

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