Compare projects
Select 2–4 projects to compare on the same basis.
Only identical known values are hidden. Unknown information remains visible.
NTransformerEngine
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.
Popularity
Repository stars3,59962,025Highest
7-day net stars——
Fork8861,708Highest
30-day trendInsufficient historyInsufficient history
Maintenance
Last push2026-11-022026-10-30
Maintenance notesNot verifiedNot verified
Repository created2022-09-202022-11-27
License & use
LicenseApache-2.0 · PermissiveLicense not declared
PricingPricing not verifiedPricing not verified
Basics
Browse by purposeData analysisData analysis
TypeFrameworks & SDKsFrameworks & SDKs
SubcategoryData science & machine learningData science & machine learning
PlatformNot verifiedNot verified
Cost detailsCheck current official software, hosting, model and infrastructure pricing.Check current official software, hosting, model and infrastructure pricing.
Pricing source——
First collected2026-11-032026-11-03
MetricRepository stars, not unique users or individual-skill installsRepository stars, not unique users or individual-skill installs
LanguagePythonPython
About this projectA 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.Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG.
Measured at2026-11-03 09:41 UTC2026-11-02 19:03 UTC
License tiers are derived from metadata. Check obligations for your use; unknown does not mean prohibited. Ranked by repository stars, one position per repository. Stars and forks are not user counts.