NVIDIA joins European Commission AI science initiative
NVIDIA Blog: NVIDIA Expands Advanced Technology Access for Europe’s Scientific Community Through Open Learning Resources, Collaborations and Compute
Much of today’s scientific progress begins with computation. But turning accelerated computing’s potential into scientific progress — modeling climate systems, designing molecules, simulating materials and more — depends on more than breakthrough technology. Especially for smaller labs, early-career scientists or science-based startups, the hardest part of research can be everything that comes before the science: assembling tools, finding compute and building the expertise to use both. At the
Get smart on it
NVIDIA is joining the European Commission's AI in Science Enablers Initiative to help Europe's research community access advanced computing tools and expertise. The initiative addresses a key challenge: smaller labs, early-career scientists, and science-based startups often struggle to assemble the necessary tools, compute resources, and technical knowledge needed for research. NVIDIA's contribution includes releasing open source models and datasets, providing training courses, offering startup access to computing resources through collaborations with European AI factories and supercomputing centers, and powering the construction of 35 new supercomputers across the continent. These resources are intended to support scientific research across fields including climate science, molecular design, biology, and materials research.
Relevant courses
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on MavenRelated news
Nvidia's Jensen Huang pledges $2 billion for Europe, $250 million in compute for UK safety labs
Nvidia CEO Jensen Huang announced $2 billion in European investments and new stakes in French startups like Doctolib and Entalpic. The UK gets $250 million in compute for AI agent safety and security research. Huang pitched open-weight models as Europe's way to close the AI gap. The article Nvidia's Jensen Huang pledges $2 billion for Europe, $250 million in compute for UK safety labs appeared first on The Decoder.
Microsoft plans to scale its own Maia AI chips to gigawatt levels by 2027
Microsoft will make its in-house Azure Maia chips the main AI inference system across its products starting in 2027, deploying them at multi-gigawatt scale. The upcoming Maia 300 should deliver 40 percent more tokens per megawatt than leading GPU systems. CEO Satya Nadella calls it "our biggest bet yet on our own silicon." The article Microsoft plans to scale its own Maia AI chips to gigawatt levels by 2027 appeared first on The Decoder.
Also reported by Data Center Knowledge
Ricursive Intelligence is betting on AI-designed chips to help solve the compute crisis
The founders detailed how their startup is developing AI that can design chips, learn from each iteration, and improve subsequent designs, all with the goal of automating and accelerating the chip design process.
AI Data Center Land Buying Hits $6B as Power Premiums Rise
US data center land spending hit roughly $6 billion in the first half of 2026, as power access now drives land value and pricing more than location alone.
Why AI Data Center Cooling Needs to Get Smarter
AI is pushing data center cooling to its limits, so the real advantage comes from integrating smart sensing, motor control, and power management into a single responsive, failure-anticipating system.
ScaleFlux bets smarter SSD controllers can break the AI memory bottleneck
AI factories run on graphics processing units that cost a fortune and work at blistering speed, yet those chips increasingly sit idle waiting for data. As the bottleneck moves from compute to memory and storage, NAND flash is being asked to do far more than hold files. That shift is putting data movement constraints at […] The post ScaleFlux bets smarter SSD controllers can break the AI memory bottleneck appeared first on SiliconANGLE.