Google launches Project Suncatcher’s first prototype satellite on SpaceX’s Transporter-18 mission to test Trillium AI chips in low Earth orbit, ahead of a 2027 two-satellite laser-link demonstration for orbital TPU clusters.
Americans are turning sharply against data centers as Texas Gov. Greg Abbott imposes a statewide moratorium on new facilities, with 54% now calling them mostly bad for the environment and six in 10 uncomfortable with one operating nearby.
Alibaba unveils its Zhenwu V900 AI chip, calling it China’s most powerful, as CEO Eddie Wu says the T-Head accelerator delivers triple its predecessor’s performance and can scale to 500,000-chip clusters for frontier-model training.
OpenAI now projects $856 billion in compute and infrastructure spending through 2030—43% above its February target—while lowering expected 2026–2030 cash burn to $278 billion as partners help finance data-center commitments.
Google, Nvidia and Emerald AI launch a 20-member AI Energy Management Alliance to make data centers cut electricity use during grid stress, with Google committing 1 gigawatt of reducible demand through utility agreements nationwide.
Intel-backed construction AI startup Buildots raises $130 million, led by Eyal Ofer’s OG Venture Partners, to speed construction of data centers, chip factories and hospitals, bringing its total funding to $297 million.
OpenAI pauses new $200-a-month Pro subscriptions, citing the tier’s heavy infrastructure demand, while keeping API, Go and Plus plans available ahead of Astra’s September 3 rollout to Pro, Plus, Enterprise and Business users.
Qualcomm and Amazon ink a landmark $4 billion AI chip deal, with AWS gaining warrants to purchase 25 million Qualcomm shares as part of a multi-generational partnership targeting Nvidia's dominance in the data center market, potentially unlocking up to $60 billion in chip purchases.
ByteDance, with founder Zhang Yiming personally at the helm, is set to launch a real-time spatial video AI model for Pico headsets as soon as next month, rendering interactive 3D cloud environments at 50ms latency while outspending rivals three to four times as part of a massive AI expansion backed …
Google Cloud unveils dynamic capacity management strategies that can slash AI infrastructure costs by up to 63%, offering organizations tools like Dynamic Workload Scheduler, automated hardware fallback systems, and precise GPU resource allocation to handle unpredictable AI workloads without ballooning expenses.