Archive
AMD announced it has surpassed its interim energy efficiency targets for AI rack-scale systems, achieving a fourfold improvement since 2024 as it pursues a 20-fold gain by 2030.
Broadcom and Marvell Technology are competing for major enterprise contracts in the custom AI chip market, as cloud hyperscalers seek alternatives to traditional GPUs.
Spirit Airlines' bankruptcy process has uncovered an unexpectedly valuable asset: its corporate internal data. AI firms including Google, Micro1, and Mercor are bidding millions for the airline's records to train enterprise AI agents.
Samsung has raised prices for its advanced contract semiconductor manufacturing by up to 15 percent as high demand for AI chips strains global foundry capacity and fills lines at rival TSMC.
A bookseller used an Apple AirTag to track a bulk shipment of rare books directly to a Las Vegas facility operated by Amazon, where workers unbind and scan physical texts to build proprietary AI training datasets.
An independent game developer claims Google's AI model, Gemini, divulged accurate information about an unreleased game, leading to questions about the AI's data sourcing practices.
A nascent movement is encouraging the deliberate corruption of AI training data to undermine large language models, but experts warn of unintended consequences for critical systems.
Tesla and SpaceX are set to invest significantly in a new chip manufacturing facility in Texas, aiming to address future computing demands.
The Santa Clara startup is building chiplet and licensing technology designed to move data faster between AI processors, memory and networking systems.
The chipmaker's strategic partnership with Ilya Sutskever's research lab couples new capital with access to Vera Rubin computing systems.
The open-model infrastructure company plans to expand training and inference services as enterprises seek alternatives to closed AI platforms.
The AI chipmaker nearly doubled its offering price as investors sought another route into compute infrastructure.
The Mountain View startup is combining expert labor, evaluations and software infrastructure to improve AI systems after their initial training.
The Dublin, California semiconductor company plans to commercialize a component that moves power vertically toward high-performance processors.
The Santa Clara company reached a $4.2 billion valuation as large AI systems create demand for faster, more flexible connections between processors.
