data center startup

A startup has unveiled a plan to produce drinking water by extracting moisture from the air, powered by waste heat generated by data centers. The approach aims to turn a major energy byproduct of the booming AI and cloud industry into a resource, addressing water scarcity while improving data center efficiency. Details about the company and its technology remain limited.

A startup backed by Donald Trump is seeking roughly 9,000 acres of public land to build a large data center, according to a report by Planetizen. The plan would involve transferring or leasing a substantial tract of publicly owned land for private digital infrastructure. Details about the company, the specific location, and the terms of the proposed land use have not yet been made fully clear.

The Wall Street Journal reports that an unnamed startup says it can double the world's available computing power without building any new data centers. The exclusive comes amid intense demand for AI compute, which has pushed tech giants to spend billions on new facilities. Details of the company's approach and identity were not included in the available reporting.

A nuclear startup based in Texas has formally applied to connect to the state's power grid. The filing marks a step toward bringing new nuclear generation capacity online, at a time of growing demand for electricity from data centers and industry. Details about the company, the project's size and timeline have not yet been made public.

A new report says Apple is looking to acquire AI chip startups after its in-house server chips struggled to meet performance expectations. The move would signal a shift in the company's artificial intelligence hardware strategy, as it reportedly weighs buying external technology rather than relying solely on its own silicon development for AI data-center workloads.

Tensor Machines, a software startup focused on measuring compute yield in data centers, has raised $1.5 million in funding. The company's technology aims to help data-center operators understand how much usable computing power their infrastructure actually delivers. Details about the investors and planned use of funds were not disclosed, but the round signals continued investor interest in tools that improve efficiency of computing infrastructure.

Startup CScale is arguing that AI data centers at gigawatt scale can keep operating even when optical lasers fail, a claim about resilience in the interconnects linking massive AI computing fleets. The bet targets one of the practical engineering worries facing companies building enormous AI factories, where component failures multiply as campuses grow. Details on funding, partners or deployments remain unclear.

A startup is planning to build a huge data center in Utah powered by nuclear energy, according to RealClearEnergy. The project reflects a broader trend of tech companies turning to nuclear power to meet the enormous electricity demands of AI and cloud computing, with Utah emerging as a candidate location for large-scale energy-intensive infrastructure.

A Las Vegas startup says it can extract water from desert air, and is aiming the technology at data-center operators who need large supplies for cooling. The idea addresses a growing tension in the Southwest, where expanding data centers compete with residents for scarce water. Coverage is focused on whether the technology can scale to industrial demand.

Startup NetworkOcean has run a GPU workload in a floating data center powered by solar panels on the San Francisco Bay, demonstrating an alternative approach to siting compute infrastructure as land-based data centers strain power grids. The project points to water-based, renewable-powered deployments as a possible way to expand AI computing capacity without competing for terrestrial electricity.

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.

A startup is proposing to build a massive data center powered by nuclear energy on public land in Utah. The plan, reported by NPR and other outlets, highlights growing demand for energy-hungry AI computing infrastructure and raises questions about the use of federal public land for private industrial projects. It comes as technology companies increasingly pursue nuclear power to meet data center electricity needs.

A startup is seeking approval to place more than 450 small nuclear reactors on public land in Utah, with the sole purpose of powering a large data center complex. The proposal stands out for its sheer scale, far beyond any existing deployment, and would tie a massive computing facility directly to new nuclear generation in the US West.