Open Source

NVIDIA contributes to many open source projects, including the Linux Kernel, PyTorch, Universal Scene Description (USD), Kubernetes, TensorFlow, Docker, and JAX. 

We are also proud to support open source foundations and open standards bodies.
Among them,

Our Commitment to Open Development

As the maintainers and consumers of numerous open technologies and projects, NVIDIA is committed to open development. We believe that to build a thriving ecosystem around open accelerated computing, open development is vital to promoting broad adoption and active contribution from developers everywhere.

The Power of Openness

We strive to cultivate an environment where anyone can participate, learn, and contribute. By making our contributors stakeholders, we not only assure you of a project you can rely on, but we also gain valuable insights into your needs and priorities.

Our commitment extends beyond simply making our source code available. We’re dedicated to open development, carrying out project operations transparently and inclusively. This includes holding all discussions that impact the design of our open projects in the open. We prefer to host these discussions on GitHub issues or discussion boards, avoiding internal-only mediums like Slack or email whenever possible.

Balancing Open and Closed Development

We recognize that some aspects of our technologies and projects may require closed development, especially those related to unreleased hardware or features. Although these components may initially be developed in a closed manner, our intention is always to release them in the open once the hardware or features are publicly released.

While we acknowledge these necessary exceptions, we’re dedicated to maintaining the open nature of our projects. We strive to minimize closed development, designing our processes to favor open development, even if this makes closed development more challenging.

Below Are a Selection of Open Source Projects NVIDIANs Have Worked On:

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