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 ...

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 ...

With GPU prices for GeForce RTX 50 Series graphics cards increasing in several markets, ZOTAC has issued a grim warning to ...

Zotac Korea say ongoing memory shortages and the subsequent component price hikes are an existential threat to graphics card ...

According to a new report NVIDIA has increased the prices for its GeForce RTX GPUs due to the increased costs surrounding GDDR6 and GDDR7 memory.

Gigabyte CEO Eddie Lin says the revenue contributed per gigabyte of GDDR7 on Nvidia graphics cards will be the key measure ...

In just a few months, many powerful Nvidia graphics cards are out of stock or facing exorbitant price hikes. The situation is especially bad for the GeForce RTX 5090.

A recent memo from Zotac's South Korean division, translated by prominent leaker @harukaze5719, states that GPUs will become ...

Running both phases on the same silicon creates inefficiencies, which is why decoupling the two opens the door to new ...

I'm hoping there are a few kernel hackers around here who might have some insights into this... I have a long standing habit of using "gutless wonder" ARM boards for desktop. Some work well, some work ...

DeepSeek's new Engram AI model separates recall from reasoning with hash-based memory in RAM, easing GPU pressure so teams ...