
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.
A startup is developing AI systems that can design computer chips, learn from each iteration, and improve subsequent designs to automate and accelerate the chip design process. This matters because computing demand is expected to grow dramatically in the coming years, and more efficient chip design could reduce the need to build proportionally more data centers and use resources more effectively. The AI approach challenges traditional chip design methods by discovering unconventional layouts that can outperform traditional ones, and could make it feasible to design custom chips for specialized applications in weeks rather than months or years. The founders argue that delegating chip design to AI would allow humans to focus on applications and creative possibilities rather than execution.
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven
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 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

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.

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.
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.

NVIDIA RTX Spark is a new beginning for the PC — a reinvention combining the capabilities of a gaming PC, a creative studio and a personal AI supercomputer into a single superchip. With up to 128GB of unified memory and 1 petaflop of AI compute, RTX Spark delivers the full stack of NVIDIA RTX and CUDA technologies for creators, developers and gamers, while unlocking a new paradigm in personal computing via powerful local AI agents. Last week, NVIDIA and Microsoft announced that RTX Spark laptops