AI transformational impact is well under way. But as AI technologies develop, so too does their power consumption. Further ...

Modern leading AI chips can process data faster than memory systems can deliver that data, limiting edge AI inference ...

More efficient AI training approaches could reduce data center power requirements, make AI modelling more accessible and ...

Another significant limitation of LLMs is their growing context memory, known as the key-value (KV) cache, which expands as ...

AI is evolving at an incredible pace, but its growing energy demands pose a major challenge. Enter spintronic devices—new ...

What’s the best CPU, memory and GPU to process reality modelling data? We test with Leica Cyclone 3DR, Register 360 and RealityCapture ...

OpenAI's custom silicon design will resemble that of Google's TPU, expected to be taped out in the coming months.

Samsung has once again become the world's top semiconductor company, according to recent report. More details here.

Workstations for arch viz. What’s the best GPU or CPU for arch viz – D5 Render, Twinmotion, Lumion, Chaos Enscape, Chaos V-Ray, Chaos Corona ...

The bench asked the poll panel to file its response within 15 days and explain the procedure adopted and posted the matter in ...

OpenAI is finalizing the design for its first custom AI training chip and is currently in the tape out phase, the final ...

Expanded DFT and test strategies are catching more SDEs, but this rare problem in server fleets is far from solved.