space computing

AMD is reported to have acquired the startup founded by Fei-Fei Li, the Stanford AI researcher often called the 'godmother of AI', in a deal valued at $8.2 billion. The move marks one of the largest acquisitions in the AI startup space and signals AMD's push to strengthen its position in artificial intelligence against rivals like Nvidia. Li, a pioneer in computer vision, co-founded the company, though details on its products and integration plans remain limited.

Google is preparing to launch an experimental satellite into orbit, marking the first move by a major technology company toward building AI data centers in space. The project signals how Big Tech firms are looking beyond Earth to find power and cooling capacity for energy-hungry artificial intelligence systems. The announcement, reported by the New York Times, has drawn wide attention to the feasibility of orbital computing infrastructure.

A Washington Examiner report argues that the rapidly growing energy and cooling demands of AI data centers could eventually push this infrastructure into orbit, where solar power is constant and heat can be radiated away. The idea is drawing attention amid rising concern over the strain AI computing places on terrestrial power grids and land.

Google has unveiled Project Suncatcher, an initiative to run machine learning infrastructure in space, using solar-powered satellites to house AI compute. The company published details on its research blog, and the announcement is drawing attention among technologists debating the feasibility, cost and environmental logic of moving data centers off Earth.

Elon Musk claimed SpaceX's plans for orbital computing, built on its Starlink satellite network, will turn out 'way better' than analysts' predictions by 2028. The comments point to ambitions to process data in space using satellite constellations rather than ground-based data centres. Reaction so far centers on skepticism versus excitement about the technical and commercial feasibility of large-scale compute infrastructure in orbit.

Google has announced Project Suncatcher, an initiative to test its AI chips in space for the first time. The plan points to putting data-processing hardware aboard satellites, a step that could eventually move parts of AI computing off Earth. The announcement is drawing attention across the tech and semiconductor world, with observers weighing the engineering challenges of running chips in orbit and what it could mean for the future of data centers.

Google is preparing to test its AI chips in space, according to a report carried by The Brussels Times. The move suggests the company is exploring how its custom AI hardware performs outside Earth, though details on the mission, timeline and partners have not been disclosed. Observers of the semiconductor and space industries are watching for what this could mean for satellite computing and data processing in orbit.

Europe and the United Arab Emirates are planning a $1 billion data center in orbit, built around 50 connected satellite computers. A central 'LLM store' would let users choose which open source AI model to run on data gathered by satellite sensors, processing information in space rather than beaming it all back to Earth. The project highlights growing interest in orbital computing for space-based data processing.

Elon Musk says SpaceX's computing power is set to surpass expectations, a claim reported as breaking news. The statement suggests the company is investing heavily in its computing and AI infrastructure, though no technical details or timelines have been given. Observers are watching to see how this capacity will support SpaceX's rocket and satellite programmes.

Google is reportedly preparing to launch AI chips into orbit, an effort that would place its semiconductor hardware on satellites in space. Details beyond the announcement remain sparse, but the idea points to computing infrastructure moving off Earth, potentially for data processing and connectivity in orbit. Observers are watching to see how the company plans to deploy and operate chips in the harsh space environment.

Google plans to test its AI chips aboard satellites in orbit under a project called Suncatcher, according to a report in The Daily Star. The initiative suggests the company is exploring whether space-based hardware could help run artificial intelligence workloads. Details on timing, partners and the scale of the orbital tests have not yet been made clear.

Indian startup TakeMe2Space plans to launch a satellite equipped with orbital edge-computing capabilities aboard an upcoming SpaceX mission. The company aims to process data in space rather than sending it back to Earth, a move that could reduce costs and delays for satellite data users. The announcement highlights the growing role of Indian space startups in commercial spaceflight.

Barron's reports that SpaceX is purchasing a significant number of Nvidia AI chips, tying Elon Musk's space company to the booming demand for artificial intelligence computing hardware. The report follows widespread interest in how much AI compute Musk's ventures are securing, as Nvidia's GPUs remain the most sought-after chips in the industry. Investors are watching Nvidia's stock closely as major buyers like SpaceX add to already heavy demand.

Google has announced Project Suncatcher, an initiative to launch a prototype satellite designed to test the performance of AI chips in orbit. The company is exploring whether data centres could eventually operate in space, taking advantage of continuous solar power while avoiding land and cooling constraints on Earth. The project puts Google in competition with other tech firms weighing space-based computing.

Google is moving forward with an unusual experiment to test running data centers in orbit, a project long discussed as a way to harness continuous solar power and ease the energy and cooling demands of AI computing. The news that the project is finally leaving Earth is drawing attention across the tech press, with observers weighing whether space-based infrastructure could become a realistic answer to data centers' growing power needs.

Google is testing AI chips intended for 'fractionalized' data centers in space, an approach that would split computing workloads across orbiting infrastructure rather than single large facilities. The project signals a push to move AI compute beyond terrestrial power and cooling limits. Details on timeline, partners and technical results remain limited, but the initiative underscores growing tech-industry interest in orbital data infrastructure.

A new shirt printed with digital camouflage patterns has been unveiled, designed to confuse AI-powered surveillance systems and prevent the wearer from being recognised by facial recognition cameras. Anti-surveillance fashion aims to exploit weaknesses in computer vision, and the release has drawn attention to growing public concern over ubiquitous camera tracking and the reach of automated monitoring in public spaces.

CScale, a startup building scale-up interconnect technology, has launched out of stealth with $188 million in funding. The company is targeting the growing demand for high-performance interconnects as AI and data-center workloads push the limits of existing chip-to-chip communication. The funding gives the young firm significant resources to compete in a market increasingly central to computing infrastructure.

Google has announced Project Suncatcher, an initiative aimed at eventually running AI data centers in space. The announcement, reported by NPR, frames the project as an early step toward moving energy-intensive AI computing infrastructure off Earth, where power demands are growing rapidly. Details remain limited, but the idea has drawn attention for its ambition.

Google has announced Project Suncatcher, a research initiative aimed at eventually running AI data centers in space, using solar-powered satellites to harness near-continuous sunlight for computing. The announcement was picked up by major US news outlets including NPR, which described it as an early step toward orbital data infrastructure. Details on timelines and costs remain limited.

SpaceX is preparing to launch Google's AI chips into orbit as part of a broader effort to develop data centers in space. The project would place computing hardware aboard spacecraft, potentially reducing the energy and cooling demands that ground-based data centers face. The announcement has drawn attention to the growing race among tech companies to move AI infrastructure beyond Earth, with both companies' ambitions now converging on orbital computing.

Galaxy Game, one of the earliest coin-operated arcade video games, is being discussed after a museum blog post about it circulated. Built at Stanford University in 1971, it is often cited as a rival to Computer Space in the origins of the arcade industry. Readers are revisiting the machine's place in gaming history.

Google is moving to build data centers in space as part of its Project Suncatcher, aiming to power artificial intelligence with solar energy collected beyond Earth. The announcement places Google in direct competition with other tech giants racing to secure computing capacity, and analysts are weighing the engineering, cost and environmental challenges of running AI infrastructure in orbit.

Google has estimated that SpaceX's Starship would need to fly around 1,600 times before space-based data centers could become commercially viable. The figure, reported by TechCrunch, highlights the enormous launch capacity required to move computing infrastructure into orbit, as tech companies explore space as a way to meet growing energy and cooling demands from AI workloads.

Google is developing Project Suncatcher, an initiative to put AI data centers in space, and has begun testing the concept. The idea is to use solar power in orbit to run the energy-hungry computing that artificial intelligence demands, easing the strain on terrestrial power grids. Scientific American reports on the plan, which is drawing attention as tech companies search for ways to meet soaring AI energy needs.

OpenAI has introduced a new offering referred to as 'Dots': autonomous AI agents that each come with their own dedicated cloud computer. The agents can reportedly perform tasks independently in the cloud rather than only responding to prompts. The announcement is being circulated on tech news channels, with discussion focused on what dedicated compute environments per agent could mean for how AI assistants handle real work.

SpaceX has launched Google's artificial intelligence chips, known as TPUs, into orbit, part of an effort to develop data centers in space. The experiment aims to test whether computing hardware can operate reliably off Earth, where solar power could support large-scale AI processing. The move signals growing interest among tech companies in moving data infrastructure beyond the planet.

Google has deployed AI chips aboard satellites in orbit, an unprecedented step in space-based computing. The move raises questions about terrestrial energy costs, as data centers running AI workloads face mounting power demands. Commentators are weighing whether orbital computing could ease the strain on ground-based power grids or whether the real bottleneck remains the enormous electricity bill of AI infrastructure on Earth.

Law firm WilmerHale has published an analysis of orbital data centers, examining the legal and regulatory questions raised by placing data infrastructure in space. The piece suggests the concept is moving beyond science fiction toward practical deployment, raising issues around jurisdiction, liability, licensing and international space law that companies and regulators will need to address.

The idea of placing data centers in orbit is drawing attention as a way to expand computing capacity beyond Earth. Proponents argue space-based compute could use continuous solar power and reduce terrestrial energy and cooling demands, while critics point to launch costs, maintenance challenges and orbital debris risks as major obstacles to large-scale deployment.