Shortages of key components such as memory chips are pushing up costs across the artificial intelligence computing ecosystem ...

Making chips for training AI models made it the world’s biggest company, but demand for inference is growing far faster.

Supermicro's NVIDIA Vera Rubin NVL72 and HGX Rubin NVL8 systems are built on the DCBBS liquid-cooling stack, targeting up to ...

Micron (MU) faces a likely ~25-30% share price decline as memory market down-cycle risk rises. MU's pivot to HBM and data ...

As generative AI models get more sophisticated, companies need more memory and faster memory, Micron CEO Sanjay Mehrotra said ...

Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be ...

The global shortage of semiconductor wafers will not ease before the end of the decade, SK Group Chairman Chey Tae-won said, delivering one of the most definitive long-range forecasts yet from the ...

Memories.ai is building a large visual memory model that can index and retrieve video-recorded memories for physical AI.

The rush to boost production of memory chips to meet fast accelerating demand from artificial intelligence will add to the ...

Samsung Electronics Co. is considering a shift toward multi-year contracts for memory chips, a much longer timeframe than is ...

Turing Award winners Gilles Brassard and Charles Bennett pioneered ideas that are now foundational to quantum computers and ...

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage, claiming 5x token throughput and 4x energy efficiency for agentic AI ...