
The proposed rules must still be approved by NERC’s board and federal regulators. As written, they would apply to computational loads of 50 MW or more connected at voltage levels of at least 100 kV.
North American Electric Reliability Corp. stakeholders have approved new reliability standards for AI data centers and crypto mining facilities, moving them closer to final adoption after review by the NERC board and federal regulators. The standards were developed in response to incidents where data centers unexpectedly dropped load or rapidly shifted electricity demand, threatening regional grid stability. The new rules would require computational loads of 50 megawatts or more connected at high voltage levels to follow procedures for data sharing, modeling, monitoring, and communication with grid operators to ensure reliable integration into the power system. This matters because electricity demand from data centers is growing significantly and reshaping power consumption patterns in ways that expose gaps in grid reliability planning and operations.
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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 unveiled Maia 300, its third-generation AI chip, as Maia 200 goes live, powering Copilot.

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.

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.