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.github/workflows/build.yml

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uses: pytorch/test-infra/.github/workflows/linux_job.yml@main
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uses: pytorch/test-infra/.github/workflows/linux_job_v2.yml@main
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secrets: inherit
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_community_blog/datathon-2025.md

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title: "Solve Real-Word AI Challenges with PyTorch at Datathon 2025: DataOrbit"
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author: "Aakash Senthilnathan"
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ext_url: /blog/datathon-2025/
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date: Feb 12, 2025
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---
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**We’re excited to have PyTorch sponsor [Datathon 2025: DataOrbit](https://dataorbit-2025.devpost.com/)**, a place where students can collaborate with a team to solve problems using real-world datasets! This event, hosted by Data Science UCSB in collaboration with Gaucho Sports Analytics and ACM@UCSB, will take place on **February 22–23rd, 2025 at UC Santa Barbara**, with the incredible opportunity to present your project to a panel of corporate and faculty judges – **including the executive director of Pytorch!** – for a chance to win prizes up to $3000.

_community_blog/optimize-llms.md

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title: "Optimize LLMs for Efficiency & Sustainability"
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ext_url: /blog/optimize-llms/
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date: Feb 19, 2025
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author: "Zach Lasiuk, Arm"
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---
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The rapid growth of large language model (LLM) applications is linked to rapid growth in energy demand. According to the International Energy Agency (IEA), data center electricity consumption is projected to roughly double by 2026 primarily driven by AI. This is due to the energy-intensive training requirements for massive LLMs – however, the increase in AI Inferencing workloads also plays a role. For example, compared with traditional search queries, a single AI inference can consume about [10x more energy](https://www.weforum.org/stories/2024/07/generative-ai-energy-emissions/).
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title: "Powering AI with PyTorch, Fedora, and Open Source Communities"
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author: Sudhir Dharanendraiah
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ext_url: /blog/pt-fedora-os-communities/
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date: Mar 7, 2025
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---
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At [DevConf.IN 2025](https://www.devconf.info/in/) in Pune, I had the opportunity to host a **[PyTorch Meetup](https://pretalx.devconf.info/devconf-in-2025/talk/W3YURM/)** on February 28th. The session, titled "**Powering AI with PyTorch, Fedora, and Open Source Communities**" was aimed at introducing PyTorch to students and professionals, explaining why **PyTorch+Fedora** form an ideal AI development platform. The other key aspect I covered was collaboration between open source communities.
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_community_blog/pytorch-at-gtc.md

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title: "PyTorch at GTC 2025"
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author: "Team PyTorch at NVIDIA"
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ext_url: /blog/pytorch-at-gtc/
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date: Mar 16, 2025
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---
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[GTC](https://www.nvidia.com/gtc/) is coming back to San Jose on March 17–21, 2025. Join PyTorch Foundation members Arm, AWS, Google Cloud, IBM, Lightning AI, Meta, Microsoft Azure, Snowflake, and thousands of developers as we celebrate PyTorch. Together learn how AI & accelerated computing are helping humanity solve our most complex challenges.
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title: "SGLang Joins PyTorch Ecosystem: Efficient LLM Serving Engine"
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author: "SGLang Team"
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ext_url: /blog/sglang-joins-pytorch/
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date: Mar 19, 2025
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We’re thrilled to announce that the SGLang project has been integrated into the PyTorch ecosystem! This integration ensures that SGLang aligns with PyTorch’s standards and practices, providing developers with a reliable and community-supported framework for fast and flexible serving of LLMs.

_events/ai-programming.md

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Anton Pidkuiko is a Software Engineer at Meta, Reality Labs in London. He is currently working on applying the power of Large Language Models to Metaverse Avatar product experiences.
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[Register now to join the event](/ai-powered-competitive-programming)
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[More info on this event.](/ai-powered-competitive-programming)

_events/devcon-meetup.md

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category: event
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title: "PyTorch Meetup at DevConf.IN 2025"
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date: Feb 28, 2025
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**Date**: Feb 28, 2025
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**Location**: Pune, India
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[Event Blog](https://pytorch.org/blog/pt-fedora-os-communities/)

_events/kr-conf.md

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category: event
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title: "PyTorch KR Conference"
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date: March 30, 2025
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**Date**: March 30, 2025, 13:00 ~ 18:00
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**Location**: Seoul, Republic of Korea
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Hear from speakers from the PyTorch Foundation, Meta, FuriosaAI, Lablup, Nota AI, Rebellions, etc.
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[Event Info](https://event-us.kr/pytorchkr/event/100142)

_events/multi-modal-dl-frame.md

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<img style="width:100%" src="/assets/images/multi-modal-dl-frame.png" alt="Multi-Modal Tabular Deep Learning with PyTorch Frame">
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</a>
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In this talk, Akihiro introduces PyTorch Frame, a modular framework for multi-modal tabular deep learning. PyTorch Frame enables seamless integration with the PyTorch ecosystem, including PyTorch Geometric for graph-based message passing across relational data and Hugging Face Transformers for extracting rich text features. The talk also highlights its specialized data structures for efficiently handling sparse features, making PyTorch Frame an essential tool for modern tabular data.
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In this talk, Akihiro introduced PyTorch Frame, a modular framework for multi-modal tabular deep learning. PyTorch Frame enables seamless integration with the PyTorch ecosystem, including PyTorch Geometric for graph-based message passing across relational data and Hugging Face Transformers for extracting rich text features. The talk also highlights its specialized data structures for efficiently handling sparse features, making PyTorch Frame an essential tool for modern tabular data.
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Akihiro Nitta is a software engineer on the ML team at Kumo.ai and a core contributor to PyTorch Frame and PyTorch Geometric, with prior experience as a maintainer of PyTorch Lightning.
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[Register now to join the event](/multi-modal-dl-frame)
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[Learn more about the event](/multi-modal-dl-frame)

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