Today’s "Inside Helion Live Q&A" brought the #PyTorch community together with Jason Ansel, @oguz_ulgen, @weifengpy, and Jongsok Choi from @Meta’s PyTorch Compiler and Helion teams. The discussion explored how Helion approaches kernel authoring, #AIInfrastructure performance, and

Want to scale biology transformer models with PyTorch? @nvidia BioNeMo Recipes can simplify and accelerate this process by lowering the barrier to entry for large-scale model training. Using step-by-step guides built on familiar frameworks like PyTorch and Hugging Face. In

TOMORROW: Inside Helion: Live Q&A with Jason Ansel, @oguz_ulgen, @weifengpy, and Jongsok Choi from @Meta’s PyTorch Compiler and Helion teams. Hear how the Python-embedded DSL compiles to Triton, accelerates kernels, and what’s ahead for Helion. 🔗 https://t.co/PqFdHODyG7 #PyTorch

New #PyTorch Foundation Spotlight with @joespeez (@meta). He shares why open source is the best path to learn, collaborate, and build, the momentum around RL, agentic APIs, and kernel development, and how #PyTorch serves as a platform for boundaryless innovation. 🖇️

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Need to accelerate Large-Scale Mixture of Experts Training? With @nvidia NeMo Automodel, an open source library within NVIDIA NeMo framework, developers can now train large-scale MoE models directly in PyTorch using the same familiar tools they already know. Learn how to make

If you're building or experimenting with GenAI on Arm devices, there’s a great learning session coming up next week! Join Gian Marco Iodice, Principal Software Engineer at @Arm, and Digant Desai, Software Engineer at @Meta, as they unpack the latest updates to ExecuTorch,

In this new PyTorch Foundation Spotlight, Ankit Patel (@nvidia) shares how their teams build on PyTorch, from using it across projects to extending it into new areas like Tensor TLLM for inference optimization and Physics NeMo for physics neural networks. He also reflects on the

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Next Thursday’s Inside Helion: Live Q&A is hosted by Jason Ansel, @oguz_ulgen, @weifengpy, and Jongsok Choi from @Meta's PyTorch Compiler and Helion teams. It’s a chance to hear directly from the developers shaping Helion. Helion is a Python-embedded DSL that compiles to Triton,

Runhouse and Curavoice were recognized in the 2025 PyTorch Startup Showcase, with @DonnyGreenberg presenting for @runhouse_ and Shrey Modi presenting for @CuraVoice. Their work reflects the depth of innovation across AI infrastructure and applied AI in the PyTorch ecosystem.

Our latest PyTorch community blog from the SGLang Team covers how SGLang advances hybrid Mamba plus Attention models with improved memory efficiency, prefix caching, speculative decoding, and serving performance. 🖇️Read the blog: https://t.co/J7UiCuiO9l #PyTorch

At #NeurIPS2025, @danielhanchen (@UnslothAI ), Davide Testuggine (@Meta), @joespeez (Meta), and @bhutanisanyam1 (Meta) led a focused discussion on how environments are shaping the next stage of agentic AI and reinforcement learning. Their session examined why environments are

Chevron’s AI platform APOLO is transforming shale operations, with up to 20% more accurate production forecasts. Learn how APOLO helps us make smarter, faster decisions.

Our latest PyTorch Foundation Spotlight features @RedHat's Joseph Groenenboom and Stephen Watt on the importance of optionality, open collaboration, and strong governance in building healthy and scalable AI ecosystems. In this Spotlight filmed during PyTorch Conference 2025,

PyTorch Foundation is on site at NeurIPS 2025 with workshops, sessions, and community programming throughout the week. Stop by our joint booth with @CNCF and meet contributors at the Open Source AI Reception with @CloudNativeFdn, @anyscalecompute , @FeatherlessAI, @huggingface,

Join us for the Open Source AI Reception hosted @CloudNativeFdn & PyTorch Foundation with @anyscalecompute, @FeatherlessAI, @huggingface @UnslothAI 🔗

Training massive Mixture-of-Experts (MoE) models like DeepSeek-V3 and Llama 4-Scout efficiently is one of the challenges in modern AI. These models push GPUs, networks, and compilers to their limits. To tackle this, AMD and Meta’s PyTorch teams joined forces to tune TorchTitan

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