Verified news from the companies building AI: new models, tools and announcements, summarised and linked to the original source.
NVIDIA intentionally designs GPUs, CPUs, networking, storage and software together to get more useful work out of memory at every layer of the AI factory.
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Chris Alexiuk is a senior product research engineer in deep learning at NVIDIA who specializes in making open large language models (LLMs) practical for working developers.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
A Blog post by Dharma-AI on Hugging Face
A Blog post by IBM Research on Hugging Face
An AI-defined fab uses accelerated simulation, learned physics models and AI agents to give engineers faster answers across design, testing and manufacturing.
From infrastructure planning and transportation to public services, cities are using NVIDIA-powered applications to address local needs and expand capacity for the broader AI ecosystem.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
We’re on a journey to advance and democratize artificial intelligence through open source and open science.
Plus a case study where we put everything together by moving our runtime from Python to Rust while live.
Here are Google’s latest AI updates from October 2026