Welcome to the January edition of the PyTorch Foundation Newsletter. As we step into 2026, we take a moment to celebrate a landmark year of growth that saw the Foundation evolve into an umbrella organization, welcoming industry-leading projects including vLLM, DeepSpeed, and Ray. This month’s issue features a retrospective on our 2025 milestones and vision for the year ahead, alongside information about new events like PyTorch Day India in Bengaluru and the inaugural PyTorch Conference Europe in Paris, France. Within, you’ll also find pointers to technical deep dives from our members on topics like scalable RL and FlexAttention optimization.
Announcements
PyTorch Conference Europe 2026
PyTorch Conference Europe 2026 will take place in Paris, France, on 7–8 April 2026. The inaugural conference brings the PyTorch community together for two days of technical talks and discussions focused on open source machine learning.
The Call for Proposals is now open through Sunday, 8 February 2026 (11:59 pm CEST).
Learn more or submit a proposal >
PyTorch Day India 2026: Registration Now Open
PyTorch Day India 2026 brings the PyTorch community to Bengaluru on February 7, 2026, for a full day of technical talks, discussions, and poster sessions focused on open source AI and machine learning. The event is hosted by PyTorch Foundation and co-hosted with IBM, NVIDIA, and Red Hat. Learn more and register >
PyTorch Foundation in 2025: A Year in Review and the Road Ahead
2025 marked PyTorch Foundation’s expansion into an umbrella foundation and the addition of foundation-hosted projects vLLM, DeepSpeed, and Ray.
The blog reviews key 2025 milestones and outlines priorities for 2026, with perspectives from Matt White (Executive Director, PyTorch Foundation), Joe Spisak (Product Director, Meta), and Luca Antiga (CTO, Lightning AI and Chair, PyTorch Technical Advisory Council). Read the full blog >
PyTorch Foundation Spotlight Series
Recent Spotlights feature contributors, members, ambassadors, and prominent community members. New Spotlights are added regularly. Watch here >
Member Round-Up
Meta: Supercharging LLMs with Scalable RL
Meta: Warp Specialization in Triton – Design and Roadmap
Meta: Enabling Cluster Launch Control with TLX
Intel: PyTorch 2.9 FlexAttention Optimization Practice on Intel GPUs
Arm: Deploying Smarter – Hardware-Software Co-design in PyTorch
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