Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

Discusses New Business Strategy and Transition to Complete Chip Sales March 29, 2026 8:00 PM EDT Thank you very much. We would like to start the Arm business briefing. I would like to introduce ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time.

Die-to-die chiplet standards are only the beginning. Many more standards are necessary for a chiplet marketplace. A number of such standards have either had initial versions released or are in ...

Understanding ocean currents is important for work such as weather forecasting, climate research, search-and-rescue ...

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Can TMS reach the hippocampus? A new study demonstrates that personalized noninvasive brain stimulation can modulate deep ...