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News, repos, and voices worth following. Refreshed daily from official sources.
NVIDIA Unlocks AI Compute at Scale, Inviting Partners to Power the AI Infrastructure Buildout
As AI moves from model development to production inference, compute demand is accelerating and shifting toward continuously operating AI factories that generate tokens at scale. This shift requires access to large‑scale, multi‑tenant accelerated computing that can come online quickly, stay highly utilized and support the economics of token‑scale AI services. Emerging AI companies historically have
The latest AI news we announced in June 2026
Here are Google’s latest AI updates from June 2026.
New York City educators and industry leaders gathered at Google’s offices to shape the future of AI in classrooms.
Google, the New York Jobs CEO Council and Urban Assembly hosted an AI summit for 150 education and industry leaders.
NVIDIA and Partners Build in America, for America
NVIDIA and its partners are investing in American manufacturing, supply chains, energy grids and skilled workforces so the U.S. can produce the infrastructure needed for better healthcare, breakthrough scientific discovery, stronger industrial productivity and global technology leadership.
Hugging Face and Cerebras bring Gemma 4 to real-time voice AI
ScarfBench: Benchmarking AI Agents for Enterprise Java Framework Migration
NVIDIA BioNeMo Agent Toolkit Brings Accelerated AI to Life Sciences Researchers in Claude Science
Life sciences has entered an era of computational scale, and for more than a decade, NVIDIA has built the full GPU-accelerated computing stack — spanning hardware, frameworks, libraries, models, microservices and domain-specific tools — to help researchers run more sophisticated workflows and iterate faster. This week, Anthropic announced Claude Science, an AI workbench for science […]
Start building with Nano Banana 2 Lite and Gemini Omni Flash
How NVIDIA’s Inference Software Stack Powers the Lowest Token Cost
As organizations move from AI pilots to production AI factories, infrastructure decisions have shifted from peak chip specifications to cost per token: how many useful tokens they can deliver per dollar, per watt and within required latency targets. Codesigned with NVIDIA GPUs, CPUs, networking and systems, and strengthened by a broad open source ecosystem, NVIDIA’s […]
How Jaiveer Singh Is Helping Robots — and Developers — Move Faster
When Jaiveer Singh talks about robots, he doesn’t begin with spectacle. He begins with infrastructure: the boards inside machines, the software that lets developers see through a robot’s cameras and the engineering required before a robot can leave a demo floor to do something useful. As a robotics software engineer who leads the team behind […]
Why Specialization Is Inevitable
Into the Omniverse: Three Workflows for Improving Vision AI Agent Accuracy With Synthetic Data and Fine-Tuning
Editor’s note: This post is part of Into the Omniverse, a series focused on how developers, 3D practitioners, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse. Vision AI agents are becoming a practical way to automatically turn video data from the physical world into operational intelligence in factories, […]
How ChatGPT adoption has expanded
New OpenAI Signals data shows how ChatGPT adoption is growing globally, with users increasing usage, exploring more capabilities, and driving growth across regions and languages.
Unlocking Britain’s next era of productivity: Building a nation of AI trailblazers
Google UK shares its latest Economic Impact Report and how to enable more people to unlock the benefits of AI-powered technologies.
Inside Genebench-Pro
Core dump epidemiology: fixing an 18-year-old bug
OpenAI engineers used large-scale core dump analysis to debug rare infrastructure crashes, uncovering both a hardware fault and a long-standing software bug.
Introducing GeneBench-Pro
Introducing GeneBench-Pro, a new benchmark testing AI performance in genomics, biology, and scientific research using complex, real-world datasets.
Featuring Every Eval Ever Results on Hugging Face Model Pages
DiScoFormer: One transformer for density and score, across distributions
Claude Meets Blackwell Ultra: Anthropic’s Models Now Run on NVIDIA GB300 in Azure
Anthropic’s Claude models in Microsoft Foundry — hosted on Microsoft Azure and running on NVIDIA GB300 Blackwell Ultra GPUs — are now generally available, giving Azure-native enterprises a powerful new way to build autonomous and domain-specific AI agents. As agentic AI continues to drive enterprise innovation and becomes more autonomous, organizations need access to computing […]
Ask an AI expert: What exactly is the full stack?
A Google expert explains what it means to take a full-stack approach to AI and why it’s been the foundation of our AI work for so long.
Firefly Aerospace Operates NVIDIA Jetson in Lunar Orbit for the First Time
Open Models, Closed Environments: Palantir Brings Secure AI to US Agencies With NVIDIA Nemotron
Showcasing the importance of open source innovation in American AI, Palantir’s new intelligent engine — introduced today — uses NVIDIA Nemotron open models to serve the needs of U.S. government agencies. Open source software has long been a pillar of U.S. technology leadership. In 1969, DARPA connected four university computers — from UCLA, Stanford, UCSB […]
Mapping Europe’s AI Workforce Opportunity
A new OpenAI report maps how AI could reshape jobs across the EU, highlighting which occupations may face automation, growth, or workflow changes.
“Powerful AI could compress a decade of scientific progress into a few years — if we get the safety right.”
“Every company will be an AI company. Software is eating the world; AI is eating software.”
Local LLM runtime, dead simple. `ollama run llama3` and you're done.
“We believe our research will eventually lead to artificial general intelligence — but we want to deploy it gradually so society can adapt.”
“Open source isn't a marketing strategy — it's how a global community builds better models together.”
“Current LLMs are useful, but they're not the road to human-level intelligence — we need world models and planning.”
“I believe AGI could be just a few years away, perhaps a decade at most. We need to be working on safety now.”