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PyTorch strives to offer tested and proven optimizers (think SGD, AdamW, Muon) and we want them to be fast, consistent, and ...

AI computing has moved from chips to platforms, and now to ecosystems. Cambricon's decade-long journey has proven that scale ...

Accelerating Sequential Recommender Models in the PyTorch Ecosystem - Zan Huang & Jiayu Sun, NVIDIA Sequential ...

As AI models grow larger and their architectures become increasingly sophisticated, the industrial ecosystem faces new ...

In 2026, PyTorch stands at the center of a rapidly expanding global AI ecosystem. Through a data-driven analysis of activity ...

AI computing hardware faces severe heterogeneity challenges with high adaptation costs and lack of unified standards.

What made me stand out for BIG TECH (CodeCrafters 40% OFF): https://app.codecrafters.io/join?via=shadeofcodex How I ...

As AI hardware continues to diversify, PyTorch faces a growing challenge: many of its APIs, runtime interface, and test ...

The pace of AI innovation requires an open ecosystem where researchers, developers, model builders and hardware companies ...

We didn't buy all our GPUs/AI chips at once. Years of procurement across different budget cycles left us with a fleet spanning ...

Welcome Back + Opening Remarks - Jonathan Bryce & Horace Li, The Linux Foundation.

Adapting to PyTorch's rapid bi-monthly release cycle is a challenge for heterogeneous accelerators. This session shares Ascend's ...

Closing Remarks.

Giving every engineer a personal AI agent sounds great until you put hundreds of them on a shared Kubernetes cluster.

GPU failures at scale are not exceptions — they are scheduled events. At Meta, training jobs spanning tens of thousands of GPUs ...

How does the threshold activation function operate on multi-dimensional tensors in deep learning? In this video, we visualize ...

Project Lightning Talk: Closing Remarks - Miley Fu, Olares.

AI agents create a demanding kind of workload. They generate and run code, interact with external systems, and often need an ...

Several leading internet companies (including ByteDance, JD.com, etc.) have built core RL training infrastructure based on veRL ...

RL (e.g., GRPO) is vital for LLM reasoning, yet current tools are either too rigid or engineering-heavy. Twinkle, co-developed by ...