
Google launched its first advanced chip into orbit to pave the way for space data centers.
Google is developing orbital data centers, networks of satellites in space that would process computing tasks. The company's white paper estimates that to make this economically viable, SpaceX's Starship rocket would need to launch approximately 1,800 times over the next decade to achieve cost-effective launch prices. This matters because the rockets required to scale orbital data centers in a cost-effective way do not yet exist, and Google is planning for computing infrastructure that will meet future demand rather than just today's workloads. Google has already launched a prototype satellite carrying its Tensor Processing Unit into space to test whether its chips can function in the orbital environment.

AI success hinges on infrastructure. Use this five-part framework to evaluate power, cooling, security, cost strategy, and scalability.

The era of generative AI has upended technology supply chains, and there is one ironclad rule in 2026: If it has memory or storage, it's getting more expensive. Even devices with years-old tech inside are still apparently subject to that unwritten rule. Nvidia has just announced that the Shield TV Pro is getting $100 more expensive, effective immediately. The most recent version of the Shield streaming box debuted in 2019, running Android TV with AI upscaling and hardware decoding for almost any

San Antonio City Councilmember Ric Galvan remembers when data centers first arrived in his city in the 2000s, looking like relatively unassuming office buildings. But that's changed in recent years, as data centers have grown into massive "hyperscale" facilities spanning millions of square feet and housing the physical infrastructure for AI. There are now more than a dozen data centers in Galvan's roughly 55-square-mile district, and he expects that number to grow to around 20
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