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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, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/NVIDIA%2FTransformerEngine
PURL: pkg:github/NVIDIA/TransformerEngine

Stars: 2,593
Forks: 470
Open issues: 275

License: apache-2.0
Language: Python
Size: 11.3 MB
Dependencies parsed at: Pending

Created at: almost 3 years ago
Updated at: about 21 hours ago
Pushed at: about 21 hours ago
Last synced at: about 21 hours ago

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

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