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PyTorch Foundation Expands to Umbrella Foundation and Welcomes vLLM and DeepSpeed Projects

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Expanded Foundation will Provide a Trusted and Vendor-Neutral Home for High-Impact and Innovative Open Source AI Projects

PARIS, May 7, 2025 /PRNewswire/ — The PyTorch Foundation, a community-driven hub for open source AI, today 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.

“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.

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. Learn more about the contribution of vLLM to the PyTorch Foundation here.

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. Learn more about the contribution of DeepSpeed to the PyTorch Foundation here.

The PyTorch Foundation is committed to fostering the growth and adoption of open source AI solutions and tooling. Communities interested in joining the PyTorch Foundation’s expanding ecosystem can learn more about the process for becoming a project here.

Supporting Quotes

“AMD has been a consistent supporter of open source software and the community of open source AI projects. We are excited about this expansion of the PyTorch Foundation, which provides a great opportunity for important AI projects to mature in an open and vendor-neutral ecosystem.”
Ramine Roane, Corporate Vice President of AI Product Management, AMD

“At Arm, we believe collaboration is essential to empower developers and accelerate AI innovation from cloud to edge. The expansion of the PyTorch Foundation is a major milestone for the open source AI community—by providing a trusted home for projects like vLLM and DeepSpeed, the PyTorch Foundation is helping to unlock scalable, efficient AI and we’re proud to support this important evolution.”
Alex Spinelli, Senior Vice President, AI and Developer Platforms and Services, Arm

“Open source frameworks are essential to advancing AI development, which is why AWS has been committed to the long-term success of the PyTorch ecosystem since its early days and through our continued support of the PyTorch Foundation. Expanding to an umbrella foundation highlights the rapid growth of this community and will make it easier to support a broader portfolio of high-impact projects, foster deeper collaboration across domains, and help scale innovation throughout the AI lifecycle.”
Brian Granger, Senior Principal Technologist of AI Platforms, Amazon Web Services

“DeepSpeed is delighted to become a hosted Platform project in the PyTorch Foundation. From inception, DeepSpeed has built on PyTorch, with critical dependencies on features such as Module, Tensor, Distributed, and Compiler. We are eager to leverage this closer integration with the PyTorch ecosystem to achieve our goal of providing open and democratized access to state-of-the-art AI technologies for all.”
– Olatunji Ruwase, Project Lead, DeepSpeed

“Google congratulates the PyTorch Foundation on its expansion into an umbrella foundation. This evolution is poised to not only champion important open source AI projects like vLLM and DeepSpeed, but is also a significant step forward in cultivating deeper collaboration and driving innovation within the AI community. We look forward to continuing to collaborate with the foundation and contributing to the expanded ecosystem.”
Joe Pamer, Senior Director, ML Frameworks and Compilers, Google

“As a significant contributor to vLLM, DeepSeed and PyTorch, Huawei welcomes their move to the foundation. We believe the professional services offered under the umbrella model will foster continued growth and value for users and developers.”
– Li Yongle, General Manager of Open Source Development, Huawei’s Computing Product Line

“Super excited for vLLM and DeepSpeed to join the PyTorch Foundation as it becomes an umbrella foundation. These packages are essential tools in the deep learning stack and integrate seamlessly with PyTorch. This is a strategic move that ensures future growth and maintenance for them.”
– Lysandre Debut, Chief Open-Source Officer, Hugging Face

“As a pivotal member of the PyTorch community for years, IBM applauds the expansion of the PyTorch Foundation to an umbrella foundation. This shift provides opportunities to support projects such as vLLM and others across the entire AI model lifecycle, from training to tuning to inference. An umbrella organization structure will support new workstreams underpinned by essential AI governance principles, accelerating performance in a new era of open, responsible AI.”
Sriram Raghavan, VP, IBM Research AI

“As a premier member of the PyTorch Foundation, Intel is excited about the foundation’s expansion into an umbrella model. This strategy empowers developers with essential resources and support, enabling them to create innovative, community-driven AI projects that tackle real-world challenges.”
– Kismat Singh, VP, Engineering for AI Frameworks, Intel Corporation

“PyTorch sits at the very core of AI today. Meanwhile, the depth of the AI stack has grown dramatically—evolving from enabling accelerated compute to powering fully autonomous systems. Broadening the PyTorch Foundation is a key step in keeping the AI revolution open and accessible to all, across the stack and aligned with the principles PyTorch was built on.”
Luca Antiga, CTO, Lightning AI

“Today PyTorch plays such a fundamental role in the AI space underpinning Llama, ChatGPT and so many other influential projects. This move to create an umbrella foundation enables PyTorch to significantly expand its ecosystem both horizontally and vertically in this era of agentic systems. I really believe this will usher in a new wave of innovation, and I’m especially excited about vLLM and DeepSpeed joining. These projects have a strong history of being critical to AI’s advances and it’s exciting that we are joining forces to grow this amazing community!”
Joe Spisak, Product Director for PyTorch, Meta

“The PyTorch Foundation plays a vital role in advancing the PyTorch ecosystem by driving innovation, supporting education, and fostering community collaboration. Its expansion to an umbrella foundation helps ensure the long-term success of open source tools and creates the conditions necessary to welcome new projects that are essential to the future of open source AI.”
– Ujval Kapasi, VP of Deep Learning Software, NVIDIA

“At Snowflake, we believe that empowering the AI community is fundamental, and strengthening the open, vendor-neutral foundation around pivotal projects like these is crucial for progress. It’s truly exciting to witness the PyTorch Foundation evolve into an umbrella organization and welcome essential projects like DeepSpeed and vLLM. Having been part of the PyTorch ecosystem, I deeply appreciate the significance of this strategic move. We eagerly anticipate the accelerated innovation this closer collaboration within the PyTorch Foundation will bring.”
Dwarak Rajagopal, VP of AI Engineering and Research, Snowflake

“We’re excited that vLLM is one of the first Platform Projects joining the PyTorch Foundation. vLLM is built on top of PyTorch with deep integration such as Torch Compile and multi-hardware support. We look forward to further collaborating with the ecosystem that powers innovations in open source and vendor neural technologies for AI.”
Simon Mo, Project Co-Lead, vLLM

About the PyTorch Foundation
The PyTorch Foundation is a community-driven hub supporting the open source PyTorch framework and a broader portfolio of innovative open source AI projects. Hosted by the Linux Foundation, the PyTorch Foundation provides a vendor-neutral, trusted home for collaboration across the AI lifecycle—from model training and inference, to domain-specific applications. Through open governance, strategic support, and a global contributor community, the PyTorch Foundation empowers developers, researchers, and enterprises to build and deploy responsible AI at scale. Learn more at https://pytorch.org/foundation.

Media Contact
Natasha Woods
The Linux Foundation
nwoods@linuxfoundation.org

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SOURCE PyTorch Foundation

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Baucor® expands U.S. manufacturing hub to secure critical supply chains for custom CNC tooli

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Baucor® has expanded its U.S. manufacturing facility to meet growing demand for high-precision custom CNC tooling and industrial cutting solutions. This strategic investment strengthens supply chain resilience by enabling faster lead times, enhanced IP protection, and localized production. The expansion includes increased capacity for advanced reaming tools, a broader range of industrial blades, and an enhanced Critical Part Management (CPM) program. As a result, Baucor® is positioned to deliver faster, more secure, and highly efficient manufacturing solutions to industries such as aerospace, medical, and packaging.

IRVINE, Calif., April 23, 2026 /PRNewswire-PRWeb/ — Baucor®, a global leader in advanced manufacturing, today announced the strategic expansion of its USA facility. The expansion is a direct response to surging American demand for high-precision custom CNC tools and industrial cutting solutions, driven by the massive industry shift toward reshoring and supply chain resilience.

Our U.S. expansion reflects our commitment to being closer to our customers and delivering speed without compromising precision, Mucahit Basaran, CEO

As global logistics remain volatile, Baucor®’s localized production model offers a distinct competitive advantage, providing aerospace, medical, and packaging manufacturers with micron-level precision, faster lead times, and uncompromising Intellectual Property (IP) protection.

Engineering Precision: Advanced Hole-Finishing Solutions

A cornerstone of Baucor®’s facility expansion is the dedicated production line for high-performance reaming tools. Precision hole-finishing is critical for structural integrity in aerospace and automotive assembly. Baucor® now offers an exhaustive range of engineering-grade reamers designed for exact tolerances:

Industrial Reaming Excellence: The facility excels in producing adjustable hand reamer and expansion reamers, allowing operators to achieve custom diameters with a single tool.Heavy-Duty Applications: For structural steel and construction, Baucor® provides rugged bridge reamers and car reamers, engineered to align existing holes and withstand extreme torque.Specialized Geometry: The catalog now includes Chamber Reamers for high-precision firearm manufacturing and Combination Reamers that allow multiple finishing steps in a single pass, significantly reducing cycle times on the factory floor.

“American manufacturers are rethinking their critical component sourcing to eliminate overseas risks,” said Mucahit Basaran, CEO of Baucor®. “By doubling down on our America operations, we aren’t just selling tools; we are providing a secure, high-tech sanctuary for design confidentiality. From specialized reamers to complex industrial blades, our goal is to ensure ‘Made in USA’ quality at every micron.”

Mastering the Edge: Industrial Blade Manufacturing

Baucor®’s expanded USA hub further solidifies its position as a premier circular knives manufacturer. The facility’s specialized grinding and edge-prep technology ensures that every blad-from the smallest razor to the largest industrial saw—maintains superior sharpness and longevity.

The expanded production covers a diverse array of industrial requirements:

Rotary & Straight Cutting: High-speed production of circular slitter blades for textile and plastic converting, alongside heavy-duty Straight Blades for metal shearing.Precision & Versatility: A wide selection of pointed tip blades and industrial-grade razor blades designed for the medical and film-slitting industries.Aggressive Cutting Profiles: Enhanced manufacturing of Saw Blades and Toothed Blades, optimized with custom tooth geometries to handle tough composites and corrugated materials without burr formation.

Strategic Advantage: The Critical Part Management (CPM) Program

To further mitigate supply chain disruptions, the expansion bolsters Baucor®’s Critical Part Management (CPM) Program. This initiative allows high-volume manufacturers to:

Maintain Optimized Inventory: Real-time stock management for mission-critical precision cutting tools.Ensure Continuity: Immediate availability of custom-engineered slitter knives and shear blades.Risk Mitigation: Full protection of proprietary designs within a secure, domestic facility.

Driving the Future of Localized Manufacturing

By bringing production closer to the end-user, Baucor® helps partners reduce production lead times by up to 30% and improve overall operational efficiency by more than 25%. The USA facility serves as a technical bridge, offering rapid prototyping that allows engineers to test and iterate custom tool designs in days rather than months.

For more information on the CPM Program or to view the full product catalog, visit: https://www.baucor.com

About Baucor®

Baucor® is a premier global manufacturer of high-performance cutting tools and custom CNC solutions. From its strategic hub in USA, the company provides end-to-end engineering support – from rapid prototyping to full-scale production. Recognized as a global leader in precision manufacturing, Baucor® empowers brands in the aerospace, medical, and packaging industries to achieve scalable, efficient, and secure production.

Media Contact

Rabia KOCA, Baucor, 1 +1 (949) 232-0251, rabia@norck.com, baucor.com 

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SOURCE Baucor

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Disrupting AI Infrastructure: America’s Electron Gap Is Becoming a Security Crisis with Matt O’Brien

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AI is no longer a software story. Matt O’Brien, CEO of Snow Crash Labs, argues that as enterprises rush to deploy more capable models, the real risk is no longer whether AI works, but whether it has been tested well enough not to turn on the companies using it.

TAMPA BAY, Fla., April 23, 2026 /PRNewswire/ — The AI race is no longer decided by models alone. On this episode of Disruption Interruption podcast, host Karla Jo Helms (KJ) speaks with Matt O’Brien, CEO of Snow Crash Labs, about why the U.S. is falling behind China in the electricity needed to power next-generation models, why enterprises can no longer afford to deploy AI without rigorous quality control, and why, as O’Brien puts it, “AI has become just as much of an infrastructure problem as it is a technology problem.”

Industry Is Moving Faster Than Its Safeguards

For O’Brien, the deeper problem is that AI capability is scaling predictably with compute and power, which means the race is now constrained by physical infrastructure as much as by software. In the episode, he explains that the U.S. would need to add at least 20 gigawatts of power to the grid every year through 2030 just to keep pace with expected data-center buildout, while China added roughly 430 gigawatts in a single year. “The AI models are grown like a garden, not built like a skyscraper,” he says, and the “water” they need is data-center compute.

That infrastructure gap becomes even more dangerous because model behavior is getting riskier at the same time. O’Brien points to the now well-known Anthropic case, where a pre-quality-control Claude Opus 4 attempted blackmail in 96% of the time when it had leverage over a user. He adds that by mid-2025, behaviors like scheming, gaslighting, and other “nefarious activities” were appearing in models about 30% of the time, up from roughly 5% in late 2024. In his view, the issue is not that models are malicious, but that they are becoming smart enough to discover routes to accomplish goals that are unethical, illegal, or damaging to the enterprise using them.

Some companies understand this risk, especially in highly regulated sectors or where sensitive healthcare and financial data are involved, but many still do not. “The market isn’t as prepared for this problem as it needs to be,” O’Brien says. This creates a dangerous asymmetry: AI adoption is accelerating faster than AI literacy, while legal, compliance, and reputational risks continue to grow.

Quality Control Before Deployment

O’Brien’s solution is to treat AI more like a regulated product than a magic trick. Snow Crash Labs tests models for alignment failures, unsafe behaviors, and quality defects before companies deploy them at scale. “We test the models to see if they have gone through a quality control process,” he says. “Because if they haven’t, the consequences can be quite severe.” That means crash-testing models for behaviors such as blackmail, bias, privacy violations, or illegal goal-seeking, and then routing enterprise requests to safer models when needed.

His analogy makes the stakes clear: “Imagine going to a supermarket without the FDA. Is that steak going to be okay? That’s what it’s like deploying AI without quality control.” In O’Brien’s view, the next major AI market is not just building more powerful models. It is making them trustworthy enough for the real economy.

That is why he believes AI literacy will determine which companies survive the next phase of adoption. “The best future for everyone is if literacy did develop in these large enterprises before they were outcompeted by AI-literate startups,” he says. The upside, in his view, is not fear-driven retreat. It is responsible adoption: quality-controlled models, fewer enterprise disasters, and a path for companies to keep using the best AI available without betting the business on blind trust.

Links

Disrupting AI Security: The End of the “Safe” AI Pilot with Matt O’Brien

Disruption Interruption is the podcast where you will hear from today’s biggest Industry Disruptors. Learn what motivated them to bring about innovation and how they overcame opposition to adoption.

https://omny.fm/shows/disruption-interruption/disrupting-ai-security-the-end-of-the-safe-ai-pilot-with-matt-o-brien

LinkedIn: https://www.linkedin.com/in/matt-o-brien-98318369/
Company Website: http://www.snowcrashlabs.com/

About Disruption Interruption™
Disruption is happening on an unprecedented scale, impacting all manner of industries — MedTech, Finance, IT, eCommerce, shipping, logistics, and more — and COVID has moved their timelines up a full decade or more. But WHO are these disruptors and when did they say, “THAT’S IT! I’VE HAD IT!”? Time to Disrupt and Interrupt with host Karla Jo “KJ” Helms, veteran communications disruptor. KJ interviews badasses who are disrupting their industries and altering economic networks that have become antiquated with an establishment resistant to progress. She delves into uncovering secrets from industry rebels and quiet revolutionaries that uncover common traits — and not-so-common — that are changing our economic markets… and lives. Visit the world’s key pioneers that persist to success, despite arrows in their backs at www.disruption-interruption.com.

About Matt O’Brien

Matt O’Brien is CEO of SnowCrash Labs, where he is building AI quality-control and security infrastructure for enterprises deploying advanced models at scale. A former corporate attorney and current Techstars mentor, O’Brien combines legal, engineering, and operational experience to help companies test AI systems for alignment failures, unsafe behavior, and other defects before they reach production. He holds a J.D. from Fordham University School of Law and a B.S. from Lehigh University in logistics, materials, and supply chain management.

Before founding SnowCrash Labs in 2025, O’Brien practiced corporate law at Pillsbury Winthrop Shaw Pittman and Nelson Mullins and earlier worked with startup and engineering teams on product, supply chain, and market-development challenges. In the podcast, he says he has followed AI progress for about a decade and launched SnowCrash Labs after recognizing that advanced models were beginning to affect white-collar work at scale. Today, his focus is making AI adoption safer, more scalable, and more trustworthy for the companies relying on it.

About Karla Jo Helms
Karla Jo Helms is the Chief Evangelist and Anti-PR® Strategist for JOTO PR Disruptors™. Karla Jo learned firsthand how unforgiving business can be when millions of dollars are on the line — and how the control of public opinion often determines whether one company is happily chosen, or another is brutally rejected. Being an alumnus of crisis management, Karla Jo has worked with litigation attorneys, private investigators, and the media to help restore companies of goodwill into the good graces of public opinion — Karla Jo operates on the ethic of getting it right the first time, not relying on second chances and doing what it takes to excel. Helms speaks globally on public relations, how the PR industry itself has lost its way, and how, in the right hands, corporations can harness the power of Anti-PR to drive markets and impact market perception.

References

LIMRA, & Life Happens. (2024, April 15). U.S. life insurance need gap grows in 2024. limra.com/en/newsroom/news-releases/2024/u.s.-life-insurance-need-gap-grows-in-2024/LIMRA. (2026, March 3). Double-digit growth drives individual life insurance new premium to set new sales record in 2025. limra.com/en/newsroom/news-releases/2026/limra-double-digit-growth-drives-individual-life-insurance-new-premium-to-set-new-sales-record-in-2025/Optifino. (2025, September 29). Optifino and Covr announce deal to transform life insurance distribution. optifino.com/optifino-and-covr-announce-deal-to-transform-life-insurance-distribution/

Media Inquiries:
Karla Jo Helms
JOTO PR™
727-777-4629

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SOURCE Disruption Interruption

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Oxford Royale Academy Partners with MIT to Bring AI Education to Summer School Students

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One of Europe’s fastest-growing education companies — ranked 156th in the FT 1000 — announces a curriculum partnership with MIT’s RAISE initiative, offering teenagers AI literacy credentials in Oxford this summer.

OXFORD, England, April 23, 2026 /PRNewswire/ — Oxford Royale Academy, one of Europe’s fastest-growing education companies, has announced a partnership with the Massachusetts Institute of Technology to bring AI literacy education to international summer school students this year.

 

The collaboration will see students at Oxford Royale’s programmes in Oxford complete the MIT RAISE FutureBuilders pathway — a structured AI education curriculum developed by MIT’s Responsible AI for Social Empowerment and Education (RAISE) initiative in partnership with Pharos Education. Students who complete the programme will receive an official MIT RAISE certificate.

Oxford Royale hosts more than 3,000 students from over 175 countries each summer, offering university-style academic programmes at colleges in Oxford. The partnership introduces a formal AI curriculum strand to its existing academic offering for the first time.

The announcement follows Oxford Royale’s inclusion in the Financial Times’ FT 1000: Europe’s Fastest Growing Companies 2026, in which the organisation ranked 156th across the continent.

IN THEIR WORDS

“The future will be led by those who understand technology and know how to harness it responsibly. Our collaboration with MIT’s RAISE initiative and Pharos Education gives students the opportunity to explore artificial intelligence at an early stage — not simply as a tool, but as a force that will shape the careers, industries and societies they inherit.”

— Andy Palmer, Chief Executive Officer, Oxford Royale Academy

“The MIT RAISE FutureBuilders programme has a clear objective: to transform the next generation from consumers of technology into AI builders. Oxford Royale’s student body — drawn from more than 175 countries — makes this one of the most internationally diverse cohorts we have worked with.”

— Felipe Arango, Chief Executive Officer, Pharos Education

BACKGROUND AND CONTEXT

Artificial intelligence has risen sharply up the agenda of schools, universities and policymakers in recent years, driven by the rapid commercial deployment of large language models and other AI systems. A number of governments have introduced national strategies for AI education, while surveys of employers consistently highlight AI literacy as among the most valued skills for new entrants to the workforce.

Despite this, structured AI education at secondary level remains limited in most countries. Oxford Royale’s adoption of the MIT RAISE pathway is intended to help close that gap, giving students aged 13–18 exposure to both the technical principles and ethical dimensions of AI before they reach university.

MIT RAISE describes its mission as promoting AI literacy and ethical understanding among young learners worldwide. Programmes developed by the initiative aim to equip students to engage with artificial intelligence thoughtfully, with particular attention to questions of fairness, accountability and the societal implications of automated systems.

Oxford Royale was founded in 2004 by Oxford graduate William Humphreys. Since launch, more than 50,000 students from over 175 countries have attended its programmes.

NOTES TO EDITORS

Programme Dates and Availability

The summer programme will run across two sessions: 5th July to 18th July and 19th July to 1st August 2026. There are a total of 60 places available across both sessions.

About Oxford Royale Academy

Oxford Royale Academy is a leading international education company offering academic summer school programmes at colleges in Oxford, UK, and at campuses worldwide. Founded in 2004, Oxford Royale has welcomed more than 50,000 students from over 175 countries. The organisation was ranked 156th in the Financial Times FT 1000: Europe’s Fastest Growing Companies 2026. Further information is available at oxfordroyale.com.

About MIT RAISE

MIT RAISE (Responsible AI for Social Empowerment and Education) is a global initiative based at the Massachusetts Institute of Technology dedicated to expanding access to AI literacy education. Its FutureBuilders programme provides structured pathways for young learners to develop skills in artificial intelligence, with an emphasis on ethical and responsible use.

About Pharos Education

Pharos Education is an education technology company that develops and delivers AI learning programmes in partnership with leading academic institutions. Pharos is the delivery partner for the MIT RAISE FutureBuilders curriculum.

 

SOURCE Oxford Royale

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