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

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 ...

The iDX6011 Pro impresses with an easy setup and all the standard NAS options you’d usually expect from a mid-range NAS. The ...

LinkedIn introduces Cognitive Memory Agent (CMA), generative AI infrastructure layer enabling stateful, context-aware systems ...

Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...

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

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 ...

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 ...

Google Research published TurboQuant on Tuesday, a training-free compression algorithm that quantizes LLM KV caches down to 3 bits without any loss in model accuracy. In benchmarks on Nvidia H100 GPUs ...

1 Department of Epidemiology and Biostatistics,American University of Beirut, Beirut, Lebanon 3 FXB Center for Health and Human Rights, T. H. Chan School of Public Health, Harvard University, Boston, ...

Studying the star, called SDSS J0715-7334, could give astronomers insights into how the universe's first stars were formed ...