Although the brain represents only 2% of body weight, it consumes 20% of our energy. A recent study sheds light on the ...

Part of the surge in demand comes from data centers, and their increasing thirst for power comes in part from running increasingly sophisticated AI models. As with all world-shaping developments, what ...

Researchers have developed a new prototype chip dubbed computational random-access memory (CRAM) that could scale down AI's power-hungry demands by over 1,000 times. The model could achieve energy ...

We’ll see some benchmarks, measure the power consumption, and find out how the new board does. The answer turns out to be a qualified “yes”. If you look at mixed CPU-and-memory tasks ...

As artificial intelligence creates new markets across industries, it is also fueling growth for Small Outline Compression Attached Memory Modules (SOCAMM), an emerging technology often described as ...

The memory hierarchy (including caches and main memory) can consume as much as 50% of an embedded system power. This power is very application dependent, and tuning caches for a given application is a ...

GIGABYTE GeForce RTX 5090 graphics cards are now powering custom AI servers in Vietnam: monster 7 x RTX 5090s used with 28 ...