The research group cut its outlook for 2026. In November it saw a 0.9% drop for global smartphone sales. In December it outlined a 2.9% drop under a moderate view and a 5.2% drop under a pessimistic ...

In effect, memory becomes a record of the agent's reasoning process, where any prior node may be recalled to inform future ...

Why GPU memorymatters for CAD,viz and AI. Even the fastest GPU can stall if it runs out of memory. CAD, BIM visualisation, and AI workflows often demand more than you think, and it all adds up when ...

The market is in dire straits.

Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...

Gizmodo reached out to Nvidia for comment, and we will update this post if we hear back.

This step-by-step guide explains how to use Discrete Device Assignment to attach a physical GPU directly to a Hyper-V virtual machine, enabling hardware-accelerated workloads such as AI while ...

A.I. companies are buying up memory chips, causing the prices of those components — which are also used in laptops and smartphones — to soar.

Micron is benefiting from soaring demand for memory hardware for use in AI data centers. The company is seeing a substantial ...

Moonshot AI’s Kimi K2.5 Reddit AMA revealed why the powerful open-weight model is hard to run, plus new details on agent ...

Nvidia DGX Spark’s tiny chassis hides extreme AI processing power that challenges traditional workstations and desktop setups ...