The focus of artificial-intelligence spending has gone from training models to using them. Here’s how to understand the difference—and the implications.
A new study published in Big Earth Data proposes an AI cube framework that integrates GeoAI models into geospatial data cube ...
After emerging as a GPU-as-a-service vendor for AI model training, CoreWeave is moving toward GPU- and CPU-powered compute ...
To understand what's really happening, we need to look at the full system, specifically total cost of ownership of an AI ...
Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models ...
While GigaIO, Inc. will continue as an independent entity focused on edge computing, d-Matrix has acquired the company's core data center technologies, including SuperNODE and the FabreX (TM) ...
Analysis Whether or not OpenAI's new open weights models are any good is still up for debate, but their use of a relatively new data type called MXFP4 is arguably more important, especially if it ...
Lightbit Labs, ScaleFlux, FarmGPU, Seagate, Western Digital, Vast, Everpure, Penguin Solutions, Hammerspace and HPE announced ...
Forbes contributors publish independent expert analyses and insights. I track enterprise software application development & data management. AI has a shiny front end. As everyone who’s used an ...
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Nvidia Says the "Inflection Point of Inference" Has Arrived. Here Are 2 AI Stocks to Buy for 2026.
These tech stocks look particularly well positioned to benefit from this opportunity.
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