The PyTorch Foundation, a community-driven hub for open source AI under the Linux Foundation, is announcing today that Alibaba Cloud has joined as a Platinum member.
Alibaba Cloud is a global leader in full-stack artificial intelligence services, offering state-of-the-art intelligent capabilities and a worldwide AI cloud computing network, providing developer-friendly AI services across the globe. Qwen, the family of large language and multimodal AI models developed by Alibaba, has become one of the most influential and widely adopted open-weight model series since its debut in 2023, earning strong recognition from the global developer communities.
“We believe the future of AI is built on open, production-proven infrastructure — and PyTorch sits at the heart of that future. Joining the PyTorch Foundation is a natural step given our years of running PyTorch at scale across heterogeneous hardware on Alibaba Cloud. We look forward to working alongside the PyTorch Foundation to raise the bar for AI infrastructure and help developers build the next generation of models with confidence,” said Dr. Feifei Li, Chief Technology Officer of Alibaba Cloud.
As a dedicated member, Alibaba Cloud aims to drive the PyTorch ecosystem forward in two ways: by delivering a seamless, out-of-the-box experience across all hardware and by contributing our production-hardened engineering expertise, including AI compiler optimization, multi-chip compatibility, and large-scale stability practices, to the upstream community.
Alibaba Cloud also maintains its own PyTorch distribution that closely tracks the upstream, delivering high performance and stability across large-scale AI workloads — both internally across Alibaba Group and externally for cloud customers.
Alibaba Cloud’s commitment to heterogeneous hardware support has been a key driver of its deep engagement with PyTorch. It ensures consistent framework quality and compatibility across a wide range of accelerators — providing developers with a unified experience regardless of the underlying hardware.
On the engineering scale, PyTorch at Alibaba powers large-cluster training and inference workloads internally. Externally, it underpins key ecosystem projects including SGLang, vLLM, PAI-TurboX, and TorchEasyRec, serving Alibaba Cloud customers across production-scale LLM training and inference, autonomous driving, embodied AI, and recommendation systems.
“We are delighted to welcome Alibaba Cloud to the PyTorch Foundation as a Platinum member,” said PyTorch Foundation Executive Director, Mark Collier. “Alibaba’s recent launch of new AI accelerators for the agentic era that are powered by PyTorch and consistent support for open source will be invaluable as the PyTorch Foundation continues to grow into a multi-project home that sustains the entire AI lifecycle from training and optimization to production-grade inference.”
As a platinum member, Alibaba Cloud is granted one seat to the PyTorch Foundation Governing Board. The Board sets policy through our bylaws, mission and vision statements, describing the overarching scope of foundation initiatives, technical vision, and direction.
We’re happy to welcome Junhua Wang, Vice President of Alibaba Cloud, to our board. Junhua Wang is responsible for Alibaba Cloud’s big data platform and machine learning platform, supporting the large-scale data storage, compute, analytics and machine learning needs within Alibaba Group while powering Alibaba Cloud’s enterprise customers from various industries. Alibaba Cloud big data platform and machine learning platform is dedicated to building the core foundation of Agentic AI. By focusing on four key pillars—models, AI infrastructure, data infrastructure, and end-to-end development tools—it provides robust technical support for the deployment of top-tier large language models and complex Agent systems.
We’re also pleased to welcome Tao Ma, Principal Engineer at Alibaba Cloud, to the PyTorch Foundation’s Technical Advisory Council (TAC). Tao Ma leads a team responsible for the design and development of Alibaba Cloud’s foundational software. The team’s primary work encompasses underlying operating system technologies for cloud computing, compiler technologies, and foundational technologies related to AI inference and training optimization. Their goal is to build a world-leading underlying AI infrastructure platform that supports the rapid development of cloud and AI.
To learn more about how your organization can join the PyTorch Foundation, visit our website.
About 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, including DeepSpeed, Helion, PyTorch, Ray, Safetensors, and vLLM. 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 AI at scale. Learn more at https://pytorch.org/foundation.