14 stories published, newest first. Each named NVIDIA in text you can check against the source.
From NVIDIA BlogAI factories are built by the megawatt, even by the gigawatt. Each megawatt factory costs roughly $60 million, and AI factory operators will only commit capital on that scale with a clear view of the return on investment.
From NVIDIA BlogBringing together the world’s brightest minds and the latest accelerated computing technology leads to powerful breakthroughs that help tackle some of the biggest research problems.
From NVIDIA BlogBuilding on nearly a decade of co-engineering, CoreWeave has built NVIDIA compute, networking and software into a cloud purpose-built for AI that’s still returning on investment across multiple generations of deployment.
Why it mattersResearchers can now use NVIDIA’s BioNeMo Structure Prediction Pipeline to generate viral protein structures for their own work without building the pipeline from scratch.
Ask your teamShould we use NVIDIA’s BioNeMo Structure Prediction Pipeline to model viral proteins relevant to our research or products?
Why it mattersGPU-accelerated robotics tools now ship as open source, letting you deploy AI-powered robots without licence fees or vendor lock-in.
Ask your teamCan we replace our current robotics stack with Isaac ROS 5.0 to cut licensing and deployment time??
Why it mattersYou can now fine-tune NVIDIA's 30B-parameter model on SageMaker without managing infrastructure, reducing time to deploy custom AI.
Ask your teamShould we use SageMaker to customize Nemotron 3.5 Lightning for our domain instead of self-hosting?
Why it mattersNVIDIA now controls the primary platform for 18M developers and 200K companies, consolidating model distribution and compute access under one vendor.
Why it mattersCustom memory integration under NVIDIA's infrastructure roadmap signals tighter control over the AI hardware stack, potentially raising barriers for non-NVIDIA XPU vendors and accelerating vertical integration for hyperscalers.
Why it mattersExclusive control of LPS capacity ensures NVIDIA can guarantee the physical infrastructure needed to build and operate its AI factories, directly impacting the availability and reliability of its AI computing services.
From NVIDIA BlogIndonesia is taking charge of its AI future.
Why it mattersA 99% employee approval rating signals strong internal confidence in leadership during a period of rapid AI industry change.
Why it mattersAI infrastructure can now be financed as productive repeatable assets with institutional capital and a diverse customer base, shifting the model from project-by-project chip purchases to investable factory-class compute.
Why it mattersInvestments in domestic infrastructure and skilled workforces aim to strengthen U.S. capabilities in critical sectors like healthcare and technology leadership.
