For a long time, running large language models meant cloud infrastructure, significant compute budgets, and a dependency on external platforms. That is changing. RP Tech, an NVIDIA partner, in ...

A demo for Tomodachi Life: Living the Dream, dubbed the “Welcome Version,” is now available for Switch via Nintendo eShop, Nintendo announced. Save data from the demo can be transferred to the full ...

Following a delay, Nvidia is ready to release the DGX Station, a desktop-like computer that can run AI models locally, bringing AI data center-like performance to your home or office. At the company’s ...

Nvidia has expanded the scope of its DGX Spark platform by enabling support for up to four linked systems, allowing the compact AI desktop to scale beyond its original two-node limitation. The updated ...

Despite growing rivalry between the two chip makers, flagship AI systems from Nvidia will use CPUs from Intel to maintain x86 continuity across data‑center workflows. Nvidia has selected Intel’s Xeon ...

Also at GTC, the company unveils NemoClaw, its toolkit for running the fast-rising, open-source OpenClaw AI agent locally. I have been a technology journalist for 30-plus years and have covered just ...

Yamaha Motor Co. is relocating its U.S. headquarters from California to Georgia after nearly a half century of operations in the Golden State. The company announced late last month that it will move ...

Two million people have already downloaded the demo for Capcom's upcoming sci-fi game, Pragmata. Pragmata Sketchbook — the free slice of the game that offers players across all platforms (PC via Steam ...

US pharmaceutical company Lilly has begun using its Nvidia-powered AI supercomputer, housed at its headquarters in Indianapolis. Dubbed LillyPod, the system is the world’s first Nvidia DGX B300 ...

Yamaha Motor Co., Ltd. has announced plans to relocate the headquarters of Yamaha Motor Corporation, U.S.A. from Cypress, California, to Kennesaw, Georgia. The transition is expected to take place in ...

Every developer working with AI knows this by now. Costs keep climbing. Latency becomes a problem you work around instead of solving. You send data to APIs and hope you didn’t miss any fine print ...