The PyTorch Foundation, a community-driven hub for open source AI, announced its expansion into an umbrella foundation. As part of this milestone, two leading open source AI projects—vLLM and DeepSpeed—have been accepted into the foundation by the Technical Advisory Council. This expansion positions the PyTorch Foundation as the trusted home for a broad range of community-driven AI projects spanning the entire AI lifecycle—from training and inference and domain-specific applications to agentic frameworks.

As artificial intelligence becomes a critical driver of global innovation and competitive advantage, enterprises are under pressure to adopt scalable, secure, and future-focused AI solutions. With global GenAI spending forecasted to hit $644 billion this year, and demand growing for open source AI alternatives, the PyTorch Foundation is positioning itself as a vendor-neutral home for trusted and innovative new AI projects. The foundation will support the development of the next generation of open source AI tooling, ensuring interoperability, reducing vendor lock-in, and enabling faster integration of trusted, production-grade technologies. With transparent governance and broad industry collaboration, the PyTorch Foundation is playing a crucial role in shaping the infrastructure enterprises rely on to build and deploy responsible AI at scale.

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“This is an exciting new chapter for the PyTorch Foundation and the broader open source AI ecosystem,” said Matt White, Executive Director of the PyTorch Foundation. “By transitioning to an umbrella foundation, we’re not only formalizing the momentum we’ve built across the PyTorch ecosystem—we’re creating space for new projects and innovators to thrive within a vendor-neutral, open governance environment.”

The decision to expand to an umbrella foundation is a natural evolution of the PyTorch Foundation’s rapid growth and global momentum. In just two and a half years, the organization has grown to include over 30 member companies and 120 vibrant ecosystem projects, and PyTorch itself has become the preferred framework for AI research and deployment. The new umbrella structure will support a broader portfolio of high-impact projects, foster deeper collaboration across domains, and help scale innovation throughout the AI lifecycle.

The PyTorch Foundation’s expanded scope allows it to host two new categories of projects:

  • Platform Projects – Solutions that support multiple stages of the AI lifecycle, including training, inference, model optimization, deployment, and agentic systems.
  • Vertical Projects – Tools tailored for specific industries and applications, such as bioinformatics, geospatial intelligence, and protein folding.

Projects accepted under the PyTorch Foundation benefit from neutral IP governance, strategic support, increased visibility, and a global community of contributors. The PyTorch Foundation distinguishes between ecosystem projects, which remain independently governed, and foundation-hosted projects, which adopt the foundation’s open governance model and receive comprehensive operational support.

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The first two projects accepted into the PyTorch Foundation as hosted projects are:

  • vLLM – An open and efficient inference engine for large language models. vLLM enables high-throughput, low-latency LLM serving through optimized memory management and scheduling techniques, including PagedAttention. It supports popular model architectures and is designed to maximize hardware utilization, making LLM inference more scalable and cost-effective across a range of deployments.
  • DeepSpeed – A distributed training library that simplifies scaling AI workloads. DeepSpeed provides a suite of optimization techniques—such as ZeRO (Zero Redundancy Optimizer), 3D parallelism, and inference acceleration—to enable training of extremely large models efficiently. It is used extensively in both academic research and production environments to push the limits of model size, speed, and efficiency.

The PyTorch Foundation is committed to fostering the growth and adoption of open source AI solutions and tooling.

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Source – PR Newswire

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