NVIDIA’s on the bottom at Open Supply AI Week. Keep tuned for a celebration highlighting the spirit of innovation, collaboration and group that drives open-source AI ahead. Comply with NVIDIA AI Developer on social channels for added information and insights.
PyTorch, the fastest-growing AI framework, derives its efficiency from the NVIDIA CUDA platform and makes use of the Python programming language to unlock developer productiveness. This 12 months, NVIDIA added Python as a first-class language to the CUDA platform, giving the PyTorch developer group higher entry to CUDA.
CUDA Python contains key parts that make GPU acceleration in Python simpler than ever, with built-in help for kernel fusion, extension module integration and simplified packaging for quick deployment.
Following PyTorch’s open collaboration mannequin, CUDA Python is offered on GitHub and PyPI.
Each month, builders worldwide obtain tons of of hundreds of thousands of NVIDIA libraries — together with CUDA, cuDNN, cuBLAS and CUTLASS — largely inside Python and PyTorch environments. CUDA Python gives nvmath-python, a brand new library that acts because the bridge between Python code and these extremely optimized GPU libraries.
Plus, kernel enhancements and help for next-generation frameworks make NVIDIA accelerated computing extra environment friendly, adaptable and extensively accessible.
NVIDIA maintains a long-standing collaboration with the PyTorch group via open-source contributions and technical management, in addition to by sponsoring and taking part in group occasions and activations.
At PyTorch Convention 2025 in San Francisco, NVIDIA will host a keynote tackle, 5 technical periods and 9 poster shows.
NVIDIA’s on the bottom at Open Supply AI Week. Keep tuned for a celebration highlighting the spirit of innovation, collaboration and group that drives open-source AI ahead. Comply with NVIDIA AI Developer on social channels for added information and insights.
Open Supply AI Week kicks off on Monday with a collection of hackathons, workshops and meetups spotlighting the most recent advances in AI, machine studying and open-source innovation.
The occasion brings collectively main organizations, researchers and open-source communities to share information, collaborate on instruments and discover how openness accelerates AI improvement.
NVIDIA continues to develop entry to superior AI innovation by offering open-source instruments, fashions and datasets designed to empower builders. With greater than 1,000 open-source instruments on NVIDIA GitHub repositories and over 500 fashions and 100 datasets on the NVIDIA Hugging Face collections, NVIDIA is accelerating the tempo of open, collaborative AI improvement.
Over the previous 12 months, NVIDIA has turn into the highest contributor in Hugging Face repositories, reflecting a deep dedication to sharing fashions, frameworks and analysis that empower the group.
Overtly accessible fashions, instruments and datasets are important to driving innovation and progress. By empowering anybody to make use of, modify and share expertise, it fosters transparency and accelerates discovery, fueling breakthroughs that profit each business and communities alike. That’s why NVIDIA is dedicated to supporting the open supply ecosystem.
We’re on the bottom all week — keep tuned for a celebration highlighting the spirit of innovation, collaboration and group that drives open-source AI ahead, with the PyTorch Convention serving because the flagship occasion.
