Browsing Tag
Data Centers
12 posts
AI and cloud data center infrastructure, power, siting, and local policy coverage.
Meta Compute Would Turn AI Oversupply Into a Cloud Business
Meta is reportedly developing a cloud infrastructure business that would sell AI compute and hosted model access. The plan is not final, but it shows how Big Tech’s AI data-center spending is starting to look like a market of its own.
Omen AI’s $31M Raise Puts Coolant Monitoring on the AI Data Center Map
Omen AI raised $31 million to scale real-time coolant monitoring for AI data centers. The story is not just funding: hotter liquid-cooled GPU racks are turning fluid health, bacterial growth, and biofilm detection into uptime problems for AI infrastructure operators.
Nvidia’s Firmus Deal Turns Batam Into an AI Factory Test Case
Firmus will build a 360 MW Nvidia DSX AI factory campus in Batam, Indonesia, with access to as many as 170,000 Nvidia accelerators. The deal shows how AI infrastructure is shifting from one-off data centers toward financed cloud capacity for AI-native companies.
AI Is Becoming a 2026 Midterm Issue in Money, Ads, and Data Centers
AI is moving from campaign talking point to campaign infrastructure in the 2026 midterms. Super PAC spending, data-center backlash, and AI-generated political ads are turning model policy into a practical election issue.
OpenAI’s Jalapeño Chip Puts Inference Costs at the Center of the AI Race
OpenAI and Broadcom unveiled Jalapeño, OpenAI’s first custom inference accelerator for large language models. The chip is less about replacing Nvidia overnight than controlling the cost, latency, and supply of the compute that runs products like ChatGPT, Codex, and the API.
NVIDIA Rubin Pushes AI Data Centers Toward Hotter, Drier Cooling
NVIDIA says its Rubin-generation AI infrastructure can run fully liquid-cooled servers with 45°C coolant, cutting facility cooling water use from conventional tower-based levels to near zero in favorable climates. The design is a real shift for AI factories, but it does not erase the water tied to power generation, chip manufacturing, or local data center siting fights.
Groq’s $650M Raise Makes AI Inference the New Cloud Fight
Groq raised $650 million to expand its AI inference cloud, with 13 data centers, more than five million developers, NVIDIA LPX integration, and a 200 MW capacity target by the end of 2027. The deal shows why serving AI models is becoming its own infrastructure market, separate from the training race.
Micron’s Anthropic Deal Makes Memory Part of the AI Model Roadmap
Micron’s new Anthropic agreement ties HBM, DRAM, SSDs, supply planning, Claude adoption, and a strategic investment into one AI infrastructure deal. The move shows why memory and storage are becoming part of frontier model design instead of commodity parts bought after the GPU decision.
Amazon’s Trainium Talks Push AWS Chips Beyond the Cloud
AWS is in early talks to sell Trainium AI chips for use in other companies’ data centers, a shift that could move Amazon from cloud-only accelerator provider toward a more direct role in the AI chip market. The opportunity is real, but so are the constraints: Trainium capacity is already tight, Nvidia still owns the broadest software ecosystem, and selling racks outside AWS could weaken the cloud bundle that makes custom silicon so valuable to Amazon.
FERC Gives AI Data Centers a Faster Path to the Grid
FERC ordered six regional grid operators to justify or revise their rules for connecting data centers and other large power users. The move could speed AI infrastructure projects, but it puts cost allocation, flexible loads, and state oversight under a sharper deadline.