BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//PyTorch - ECPv6.15.20//NONSGML v1.0//EN
CALSCALE:GREGORIAN
METHOD:PUBLISH
X-WR-CALNAME:PyTorch
X-ORIGINAL-URL:https://pytorch.org
X-WR-CALDESC:Events for PyTorch
REFRESH-INTERVAL;VALUE=DURATION:PT1H
X-Robots-Tag:noindex
X-PUBLISHED-TTL:PT1H
BEGIN:VTIMEZONE
TZID:America/Los_Angeles
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20250309T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20251102T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20260308T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20261101T090000
END:STANDARD
BEGIN:DAYLIGHT
TZOFFSETFROM:-0800
TZOFFSETTO:-0700
TZNAME:PDT
DTSTART:20270314T100000
END:DAYLIGHT
BEGIN:STANDARD
TZOFFSETFROM:-0700
TZOFFSETTO:-0800
TZNAME:PST
DTSTART:20271107T090000
END:STANDARD
END:VTIMEZONE
BEGIN:VTIMEZONE
TZID:Asia/Taipei
BEGIN:STANDARD
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:CST
DTSTART:20250101T000000
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260505
DTEND;VALUE=DATE:20260520
DTSTAMP:20260518T035319
CREATED:20260424T195719Z
LAST-MODIFIED:20260424T195719Z
UID:10000161-1777939200-1779235199@pytorch.org
SUMMARY:PyTorch Docathon 2026
DESCRIPTION:PyTorch Docathon 2026 (May 5–19)\, a community-powered\, hackathon-style sprint focused on making PyTorch documentation clearer\, more accurate\, and easier to use. Great docs are a force multiplier: they help new users ramp faster\, help experienced practitioners apply advanced features correctly\, and shorten the path from research to production in machine learning. \nRSVP now. \nAs AI development accelerates\, documentation matters even more. LLMs and AI agents increasingly rely on public technical documentation to learn APIs\, generate code\, and troubleshoot workflows. High-quality PyTorch docs don’t just help humans\, they help ensure AI-generated guidance is more accurate\, up-to-date\, and aligned with best practice. \nWHY PARTICIPATE \nThe Docathon is an inclusive event designed to be accessible to all levels of expertise from newcomers to experienced ML/PyTorch users. It offers a rewarding experience as participants can see the direct impact of their contributions on the project’s usability and accessibility. The Docathon promotes a collaborative environment\, allowing participants to work with other contributors and PyTorch maintainers\, fostering the exchange of ideas and networking. It also provides a rich learning experience\, offering the opportunity to explore PyTorch modules\, update docstrings\, and test tutorials. \nEVENT DETAILS \n\nMay 5: Kick-off 10 AM PT\nMay 6 – May 15: Submissions and Feedback\nMay 16 – May 18: Final Reviews\nMay 20: Winner Announcements\n\nFurther details about the Docathon will be shared during the Live PyTorch Docathon Kick-off and Q&A on May 5. \nTo stay updated on the event\, please make sure to: \n\nRSVP here (you might need to login to RSVP)\nJoin the Discord server that we will be using for the event here
URL:https://pytorch.org/event/pytorch-docathon-2026/
CATEGORIES:PyTorch-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2026/04/PyTorch-Docathon-2026-May-5-19.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260518T080000
DTEND;TZID=America/Los_Angeles:20260521T180000
DTSTAMP:20260518T035319
CREATED:20260512T123556Z
LAST-MODIFIED:20260512T140618Z
UID:10000162-1779091200-1779386400@pytorch.org
SUMMARY:MLSys 2026
DESCRIPTION:Ninth Annual Conference on Machine Learning and Systems \n\n\nMLSys 2026 is an annual conference on machine learning and systems which aims to contribute to better-performing\, sustainable AI infrastructure. It bridges the gap between hardware/software systems and machine learning algorithms\, bringing together academic and industry researchers to collaborate on efficient model training\, inference\, hardware acceleration\, and AI-driven system optimizations. \n\n\nThis year’s conference will focus on Large Language Model (LLM) training and inference\, compound AI systems\, distributed/federated learning\, hardware-efficient ML methods\, and privacy/security.
URL:https://pytorch.org/event/mlsys-2026/
CATEGORIES:Community-hosted
ATTACH;FMTTYPE=image/jpeg:https://pytorch.org/wp-content/uploads/2026/05/6314c44f-b96a-49e5-af61-072afad8b18d.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Los_Angeles:20260520T100000
DTEND;TZID=America/Los_Angeles:20260520T230000
DTSTAMP:20260518T035319
CREATED:20260512T191045Z
LAST-MODIFIED:20260512T191446Z
UID:10000163-1779271200-1779318000@pytorch.org
SUMMARY:PyTorch 2.12 Release Live Q&A
DESCRIPTION:PyTorch 2.12 includes major updates across compilation\, distributed systems\, export\, graph capture\, and accelerator support. Highlights include a new device-agnostic torch.accelerator.Graph API\, up to 100x faster batched eigenvalue decomposition on CUDA\, support for microscaling quantization formats in torch.export.save\, and expanded CUDA\, ROCm\, XPU\, MPS\, and Arm platform support. \nJoin us on Wednesday\, May 20 at 10:00 AM PT for a live Q&A with panelists Andrey Talman\, Alban Desmaison\, and Joe Spisak\, moderated by Chris Gottbrath. The panel will provide a brief overview of the release and answer your questions live. Register today! \nTopics include: \n\nDevice-Agnostic Accelerator Graph Capture\nProcessGroup Support in Custom Ops\ntorch.export.save Support for Microscaling Quantization Formats\nFused Adagrad Optimizer Support\nFlightRecorder Updates\nMulti-GPU and Multi-Node Profiling Improvements\nUpdated Backend Selection for torch.linalg.eigh on CUDA\nExpanded CUDA\, ROCm\, XPU\, MPS\, and Arm Platform Support\n\nRegister today. \nPanelists \nAndrey TalmanAndrey Talman is a Software Engineer at Meta\, primarily focused on open source releases for PyTorch and its ecosystem libraries. He works on release management\, continuous integration\, and process improvements\, ensuring high-quality and timely delivery of PyTorch and related projects. \nAlban DesmaisonAlban Desmaison is a Research Engineer at Meta and the Lead Core Maintainer of PyTorch. \nJoe SpisakJoe Spisak is Vice President of Product and Head of Open Source at Reflection AI. He is a PyTorch core maintainer\, serves on the PyTorch Foundation Governing Board\, and previously worked at Meta. \nModerator \nChris GottbrathChris Gottbrath is a Group Technical Program Manager supporting PyTorch at Meta and Chair of the PyTorch Foundation Marketing Committee.
URL:https://pytorch.org/event/pytorch-2-12-release-live-qa/
CATEGORIES:PyTorch-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2026/05/2.10-Webinar-Card-Final.png
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=Asia/Taipei:20260601T080000
DTEND;TZID=Asia/Taipei:20260604T170000
DTSTAMP:20260518T035319
CREATED:20260415T173145Z
LAST-MODIFIED:20260415T173305Z
UID:10000154-1780300800-1780592400@pytorch.org
SUMMARY:NVIDIA GTC Taipei
DESCRIPTION:The Next Generation of AI Begins – NVIDIA GTC Taipei\nIt all starts here.\nJune 1–4 | Taipei International Convention Center \nNVIDIA GTC returns to Taipei to explore the next generation of AI. This year’s global AI conference will bring together developers\, researchers\, and industry leaders to dive into the latest breakthroughs redefining what’s possible. We’ll cover AI factories and scaling infrastructure\, agentic AI and reasoning AI\, AI for science\, physical AI and robotics\, and more. \nExperience GTC Taipei at COMPUTEX 2026 through dynamic sessions\, hands-on labs\, and exclusive networking events at the Taipei International Convention Center (TICC) and across Taipei’s top venues. Don’t miss this chance to join the community shaping the next era of AI innovation and be part of the GTC experience that’s powering the world’s most advanced technologies.
URL:https://pytorch.org/event/nvidia-gtc-taipei/
CATEGORIES:Community-hosted
ATTACH;FMTTYPE=image/jpeg:https://pytorch.org/wp-content/uploads/2026/04/NVIDIA-GTC-Taipei.jpg
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260908
DTEND;VALUE=DATE:20260910
DTSTAMP:20260518T035319
CREATED:20260223T230502Z
LAST-MODIFIED:20260223T230502Z
UID:10000121-1788825600-1788998399@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 and registration \n📢 Submit to the Call for Proposals (CFP) \n🤝 Sponsor the event
URL:https://pytorch.org/event/kubecon-cloudnativecon-openinfra-summit-pytorch-conference-china-2026/
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2026/02/KubeCon-CloudNativeCon-OpenInfra-Summit-PyTorch-Conference-China.png
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20260908
DTEND;VALUE=DATE:20260914
DTSTAMP:20260518T035319
CREATED:20260120T034651Z
LAST-MODIFIED:20260120T034651Z
UID:10000054-1788825600-1789343999@pytorch.org
SUMMARY:ECCV 2026
DESCRIPTION:
URL:https://pytorch.org/event/eccv-2026/
LOCATION:Malmö\, Sweden\, Malmö\, Sweden
CATEGORIES:Community-hosted
END:VEVENT
BEGIN:VEVENT
DTSTART;VALUE=DATE:20261020
DTEND;VALUE=DATE:20261022
DTSTAMP:20260518T035319
CREATED:20251203T235721Z
LAST-MODIFIED:20260402T222315Z
UID:10000047-1792454400-1792627199@pytorch.org
SUMMARY:PyTorch Conference 2026
DESCRIPTION:Step into the Future of AI at PyTorch Conference North America 2026\nJoin us in San Jose\, CA\, October 20-21 for PyTorch Conference North America 2026. Hosted by the PyTorch Foundation\, PyTorchCon gathers top-tier AI pioneers\, researchers\, and developers to explore the future of open source AI and the impact of PyTorch Foundation projects like PyTorch\, vLLM\, DeepSpeed\, and Ray. \nPyTorch Conference features in-depth technical talks\, hands-on workshops\, and candid conversations spanning the full AI stack\, from bare metal infrastructure to applications and agent-based systems. The program features keynote sessions from leading voices in AI and practical deep dives on training\, inference\, GenAI\, and focused tracks on responsible AI & compliance\, security & privacy\, frameworks & compilers\, and more. \n\nSubmit a Session Proposal – We are seeking submissions for sessions on the following suggested topics:\n\nApplications — projects showcasing the PyTorch ecosystem\nTraining — techniques and libraries for training\nInference — techniques and libraries for inference\nCore PyTorch — changes to the PyTorch framework\nKernel Engineering — compilers\, optimization\, and domain-specific languages\nResponsible AI — ethics\, governance\, security\, sandboxing and privacy\n\n\nRegister Now – Attendees who register early can secure a pass at a discounted rate.\nSponsor the Conference – Show your support and engage with over 3\,000 engineers and researchers.\n\nPyTorch Conference is where the open source AI community connects\, learns\, and shapes what comes next. \n#PyTorchCon
URL:https://pytorch.org/event/pytorch-conference-2026/
LOCATION:San Jose\, CA\, San Jose\, CA\, United States
CATEGORIES:PyTorch-hosted
ATTACH;FMTTYPE=image/png:https://pytorch.org/wp-content/uploads/2025/12/PyTorchCon-2026-Save-the-Date.png
END:VEVENT
END:VCALENDAR