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NVIDIA/TransformerEngine

A library for accelerating Transformer models on NVIDIA GPUs, including using 8-bit and 4-bit floating point (FP8 and FP4) precision on Hopper, Ada and Blackwell GPUs, to provide better performance with lower memory utilization in both training and inference.

3.3k 687 +1/wk
GitHub
cuda deep-learning fp4 fp8 gpu jax machine-learning python pytorch
Trend 3

Star & Fork Trend (23 data points)

Stars
Forks

Multi-Source Signals

Growth Velocity

NVIDIA/TransformerEngine has +1 stars this period . 7-day velocity: 0.1%.

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Metric TransformerEngine nlp-roadmap ResNeSt embabel-agent
Stars 3.3k 3.3k3.3k3.3k
Forks 687 515496310
Weekly Growth +1 +0+0+11
Language Python N/APythonKotlin
Sources 1 111
License Apache-2.0 MITApache-2.0Apache-2.0

Capability Radar vs nlp-roadmap

TransformerEngine
nlp-roadmap
Maintenance Activity 100

Last code push 0 days ago.

Community Engagement 100

Fork-to-star ratio: 21.0%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 42

+1 stars this period — 0.03% growth rate.

License Clarity 95

Licensed under Apache-2.0. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.