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 ...

If you're thinking about upgrading to a new graphics card this year, your window for doing so at MSRP has closed. When I ...

Computing firepower that Nvidia graphics chips bring weather modelling firms has huge implications for wind farm planning and ...

As AI demand shifts from training to inference, decentralized networks emerge as a complementary layer for idle consumer hardware.

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 ...

Modern graphics cards come with specialized hardware designed specifically to handle the computational load, and even then, running something like Cyberpunk 2077 with maxed-out graphics settings and ...

Groundhog Day 2026 is almost here! How often is Punxsutawney Phil correct? Among other animal forecasters, Phil doesn't even ...

We've tested Intel's Panther Lake flagship laptop chip, the Core Ultra X9 388H, and we're very impressed with the Core Ultra ...

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 ...

By smashing together two graphics cards, Brazilian GPU modders have not only resurrected a dead RTX 5070 Ti but made it a ...

Groundhog Day 2026 is almost here! How often is Punxsutawney Phil correct? Among other animal forecasters, Phil doesn't even ...

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