San Jose, Calif. – There haven't been any design tools to date that allowed chip architects to analyze cache and memory efficiency and how they relate to dynamic power consumption. PowerEscape Inc. is ...

The biggest challenge posed by AI training is in moving the massive datasets between the memory and processor.

With the particular needs of scientists and engineers in mind, researchers at the Department of Energy's Pacific Northwest National Laboratory have co-designed with Micron a new hardware-software ...

For all their superhuman power, today’s AI models suffer from a surprisingly human flaw: They forget. Give an AI assistant a sprawling conversation, a multi-step reasoning task or a project spanning ...

Google researchers have revealed that memory and interconnect are the primary bottlenecks for LLM inference, not compute power, as memory bandwidth lags 4.7x behind.

AMD submitted a patent to the World Intellectual Property Organization (WIPO) for a groundbreaking new memory architecture that can significantly enhance the performance of the DDR5 standard. The ...

A Cache-Only Memory Architecture design (COMA) may be a sort of Cache-Coherent Non-Uniform Memory Access (CC- NUMA) design. not like in a very typical CC-NUMA design, in a COMA, each shared-memory ...

The first generation of distributed databases was optimized to write to disk with limited or secondary support for caching. Applications inefficiently relied on a separate in-memory cache that was ...

Computer memory and storage have always followed the Law of Closet Space. No matter how much you have, you shortly discover that it isn’t enough. So it’s good news that scientists in Switzerland are ...

Forbes contributors publish independent expert analyses and insights. Craig S. Smith, Eye on AI host and former NYT writer, covers AI. Seven years and seven months ago, Google changed the world with ...