Open Source AI Week: Fueling AI Innovation | Developers & Contributions

NVIDIA Doubles Down ⁢on ‍Open Source AI: Fueling Innovation with PyTorch and Beyond

NVIDIA is deeply committed to accelerating ⁢the open-source ⁣AI revolution. From substantial contributions⁣ to the PyTorch ecosystem to expanding access to cutting-edge tools and models, we’re empowering developers worldwide to build the ‌future of artificial intelligence.This commitment is on full display at Open Source AI Week ⁤and the upcoming PyTorch Conference 2025.

The Power of Open Source: Why It Matters to You

Openly available models, tools, and datasets are‍ the bedrock​ of innovation. They foster transparency, accelerate discovery, and ultimately lead‍ to breakthroughs that benefit everyone.‌ you, as a developer, gain the ⁤freedom to use, modify, and share technology, driving progress faster than ever before.

PyTorch Momentum: A Community-Driven Force

The‌ PyTorch framework is experiencing explosive growth.⁣ Recent data from PyPI Stats shows PyTorch averaged over two million daily​ downloads, peaking‌ at 2,303,217 on October 14th, and⁤ reaching 65 million total downloads last⁣ month. This demonstrates the vibrant and expanding community embracing ⁣PyTorch for their AI development needs.

NVIDIA’s long-standing collaboration with the PyTorch‌ community is central to this success. We ‍actively contribute through:

* Open-source contributions: We’re not just users,we’re builders.
* ​ Technical leadership: Helping shape the future of the framework.
* ​ Community sponsorship & participation: Supporting events and fostering collaboration.

Bridging the Gap: CUDA Python & Optimized GPU ‍Libraries

Many developers leverage NVIDIA⁤ libraries like CUDA, cuDNN, cuBLAS, and CUTLASS‌ within python and PyTorch environments. To streamline this⁢ process, ⁣NVIDIA provides nvmath-python, a new library that acts as a crucial bridge between your Python code and these highly​ optimized GPU resources. This means faster performance and more efficient development for your AI projects.

What’s New from NVIDIA: Enhancements⁣ &‍ Accessibility

we’re constantly working to improve the NVIDIA accelerated computing experience.​ Recent advancements include:

* kernel enhancements: Boosting efficiency and performance.
* ⁣ Next-generation framework support: ⁢Ensuring compatibility with the latest tools.
* Increased accessibility: Making powerful ‌AI tools available to a wider audience.

NVIDIA ⁤at Open Source AI Week ​& PyTorch Conference 2025

You can experience NVIDIA’s commitment firsthand at these key events:

* ⁢ Open Source AI week: We’re on the ground now, participating in hackathons, workshops, and meetups. ⁣ This​ event brings together leading ‌organizations and researchers to share knowledge and⁢ collaborate.
* PyTorch Conference ​2025 (San Francisco): NVIDIA will deliver a keynote address, five technical sessions, and‌ nine ⁤poster presentations, showcasing our latest innovations​ and contributions.

Expanding Access: A Growing repository of Resources

NVIDIA is dedicated⁣ to providing developers with the tools they need to succeed. ‌ We’re continually expanding our open-source offerings:

* ​ NVIDIA ‌github: over 1,000 open-source tools are available in our repositories. (https://github.com/nvidia)
* NVIDIA Hugging Face: Access over 500 models and 100 datasets. (https://huggingface.co/nvidia/collections)

In fact, NVIDIA has recently become the top contributor ⁢ to ⁣Hugging face repositories, demonstrating our dedication‍ to sharing models, frameworks, and research.

Stay connected

Follow⁣ NVIDIA AI Developer on social media for the latest news, insights, and updates from Open Source AI‌ Week and beyond.

NVIDIA ​believes in the power of open source⁣ to transform AI.⁤ We’re committed to fostering a collaborative ecosystem where innovation thrives, and you have the‌ resources you need to build the next generation of clever applications.