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.

machine-learning deep-learning

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2.6k Stars

470 Forks

2.6k Watchers

Python Language

apache-2.0 License

Cost to Build

$571.3K

Market Value

$2.51M

How is this calculated?

Growth over time

2 data points · 2025-04-05 → 2025-08-03

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What is the NVIDIA/TransformerEngine GitHub project? Description: "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.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone TransformerEngine

Clone via HTTPS

git clone https://github.com/NVIDIA/TransformerEngine.git

Clone via SSH

[email protected]:NVIDIA/TransformerEngine.git

Download ZIP

Download master.zip

Found an issue?

Report bugs or request features on the TransformerEngine issue tracker:

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