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DTSTART;VALUE=DATE:20260907
DTEND;VALUE=DATE:20260910
DTSTAMP:20260812T150506Z
CREATED:20260223T230502Z
LAST-MODIFIED:20260812T150506Z
UID:10000121-1788739200-1788998399@pytorch.org
SUMMARY:KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026
DESCRIPTION:KubeCon + CloudNativeCon + OpenInfra Summit + PyTorch Conference China 2026 convenes the OpenInfra\, cloud native\, and AI communities in Shanghai. The event brings together adopters\, technologists\, and community members from across the region to advance open source infrastructure\, cloud native computing\, machine learning\, and next-generation AI across shared industry use cases. \nOver two days\, CNCF projects\, OpenInfra\, and PyTorch communities collaborate across dozens of open technologies\, including Kubernetes\, OpenStack\, and PyTorch. The program emphasizes practical implementation\, cross-community collaboration\, and large-scale production deployment. \n🔗 Event overview \n🎟️ Register now
URL:https://pytorch.org/event/kubecon-cloudnativecon-openinfra-summit-pytorch-conference-china-2026/
LOCATION:Mbarara
CATEGORIES:PyTorch-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2026/02/KubeCon-CloudNativeCon-OpenInfra-Summit-PyTorch-Conference-China-2.png
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BEGIN:VEVENT
DTSTART;TZID=Europe/London:20260916T180000
DTEND;TZID=Europe/London:20260916T210000
DTSTAMP:20260907T082631Z
CREATED:20260907T082519Z
LAST-MODIFIED:20260907T082631Z
UID:10000220-1789581600-1789592400@pytorch.org
SUMMARY:London PyTorch Meetup
DESCRIPTION:Join us at Graphcore’s London office for an evening of PyTorch talks\, food\, drinks and networking\, shared with the PyTorch Meetup London community. \n​We have three technical talks for the evening: \n​Scaling model training with TorchTitan\, Arsalan Uddin\, Senior ML Engineer\, Graphcore.\n​Púca: inspectable\, debuggable automatic differentiation through source-to-source Python transformation\, Andrew Fitzgibbon\, Engineering Fellow\, Graphcore.\n​A talk from the wider PyTorch community.\n​Agenda \n​6:00–6:30 pm — Arrival and welcome \n​6:30–7:30 pm — Talks and Q&A \n​7:30–9:00 pm — Networking\, food and drinks on Graphcore’s 10th-floor rooftop \n​You’ll also have the opportunity to meet the Graphcore team and learn about roles in machine learning engineering and research. \n​Whether you’re building large-scale systems\, working in ML research or simply interested in the PyTorch ecosystem\, we’d love to see you there.
URL:https://pytorch.org/event/london-pytorch-meetup/
LOCATION:Graphcore Office\, Lynton House\, 7-12 Tavistock Square\, London\, London\, WC1H 9LT\, UK\, United Kingdom
CATEGORIES:Ambassador-hosted
ATTACH;FMTTYPE=image/jpeg:https://pytorch.org/wp-content/uploads/2026/09/images.jpeg
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BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260917T110000
DTEND;TZID=America/Los_Angeles:20260917T120000
DTSTAMP:20260917T231601Z
CREATED:20260902T142620Z
LAST-MODIFIED:20260917T231601Z
UID:10000219-1789642800-1789646400@pytorch.org
SUMMARY:PyTorch 2.14 Release Live Q&A
DESCRIPTION:PyTorch 2.14 introduces updates to Inductor\, PyTorch Distributed\, c10d\, dynamic shapes\, Apple Silicon\, and accelerator platform support\, with 2\,995 commits from 487 contributors since PyTorch 2.13. \nBring your questions about PyTorch 2.14 to our live Q&A on Thursday\, September 17\, 2026 at 11 AM PT. Andrey Talman of Meta\, Nikkita Shulga of Thinking Machines Lab\, Joseph Spisak of Reflection AI\, and Chris Gottbrath of Gottbrath Tech (moderator) will share an overview of PyTorch 2.14 and answer community questions about PyTorch and the new capabilities. \nPyTorch 2.14 covers: \n\nNVGEMM and CuTeDSL-generated CUTLASS kernels in Inductor\nThe new nccl2 backend for PyTorch Distributed\nFault-tolerant collectives and process-group reconfiguration in c10d\nNative linear algebra and additional Metal kernel improvements on Apple Silicon\ntorch.switch and CUDA graph capture for torch.while_loop\nDeclarative dynamic shapes with @dynamic_spec\nExperimental torch.compile support for complex-valued tensors\nExpanded ROCm\, Intel XPU\, and NVIDIA platform support\n\nWatch the replay \n \nRead the release blog.
URL:https://pytorch.org/event/pytorch-2-14-release-live-qa/
LOCATION:Mbarara
CATEGORIES:PyTorch-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2026/09/PyTorch-2.14-Release-Live-QA.png
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BEGIN:VEVENT
DTSTART;TZID=Africa/Kampala:20260919T090000
DTEND;TZID=Africa/Kampala:20260919T130000
DTSTAMP:20260827T142608Z
CREATED:20260827T142608Z
LAST-MODIFIED:20260827T142608Z
UID:10000216-1789808400-1789822800@pytorch.org
SUMMARY:PyTorch Community Meetup Kampala
DESCRIPTION:PyTorch Community Meetup Kampala brings together students\, researchers\, developers\, ML/AI practitioners\, and open-source contributors in Uganda and across East Africa to learn\, share\, and connect around PyTorch and modern AI. \nHosted by the PyTorch East Africa Community in collaboration with the IndabaX Makerere University Student Chapter and the IEEE Computer Society Makerere University Student Branch Chapter\, the meetup will feature technical talks\, practical insights\, community discussions\, and opportunities to connect with others building and learning in AI/ML. \nTopics will include PyTorch\, machine learning\, deep learning\, and open-source AI\, with contributions from practitioners and researchers working in the region. \nThe meetup is open to anyone interested in learning about PyTorch\, sharing their work\, meeting other AI/ML practitioners\, or becoming part of the growing open-source AI community in East Africa. \nOrganized by Pacifique Mugisho\, PyTorch Ambassador
URL:https://pytorch.org/event/pytorch-community-meetup-kampala/
LOCATION:Makerere University\, Makerere Hill Road\, Kampala\, P.O. Box 7062\, Uganda
CATEGORIES:Ambassador-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2026/08/PyTorch-Meetup-Kampala-flyer-editable.png
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