
Google is taking its first step toward making Project Suncatcher a reality. Announced last year, Suncatcher is Google's "moonshot" effort to design orbital AI data centers, which AI boosters like Elon Musk and Jeff Bezos have pitched as an alternative to divisive terrestrial data centers. Google's first experimental satellite will launch on October 1 with the aim of validating Google's vision for a constellation of AI satellites. The satellite, dubbed MVP, is about the size of a refrigerator. In
Google is launching an experimental satellite on October 1 to test whether AI processing hardware can operate effectively in space. The satellite, about refrigerator-sized, will contain custom AI accelerator chips powered by solar panels and will only run for brief 15-minute periods because cooling the chips in space presents a major engineering challenge. This test is part of a larger effort to eventually build networks of orbiting satellites for AI computing, which supporters see as an alternative to power-intensive ground-based data centers. The mission will help Google understand what technical obstacles need to be solved before such orbital AI systems become practical.

Under the One Big Beautiful Bill Act, data center projects in rural areas could be eligible for major tax benefits starting next year. Some hyperscalers do not seem eager to take the free cash.

The price of anything with memory is skyrocketing thanks to AI. Aging streaming devices are no exception.
NVIDIA announced a new 64GB configuration of DGX Spark — from Acer, ASUS, Dell, Gigabyte, HP and MSI — its GB10-powered desktop AI system. It gives developers a way to start with one system for local models and agents, then cluster two 64GB units for 128GB of memory across the cluster and more compute when workloads grow. The direct message is: Run open models and always-on agents on your own desk, then cluster DGX Spark system as the work grows – instead of on a metered API. The ti
Want to go deeper than the news? Explore live, cohort-based AI courses taught by practitioners.
Browse AI courses on Maven