A technical paper titled “HMComp: Extending Near-Memory Capacity using Compression in Hybrid Memory” was published by researchers at Chalmers University of Technology and ZeroPoint Technologies.

Exponential increases in data and demand for improved performance to process that data has spawned a variety of new approaches to processor design and packaging, but it also is driving big changes on ...

CAMBRIDGE, England & SANTA CLARA, Calif.--(BUSINESS WIRE)--Blueshift Memory, designer of a novel proprietary high-speed memory architecture, has announced that the Cambridge Architecture™ has been ...

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.

We have been excited about the possibilities of adding tiers of memory to systems, particularly persistent memories that are less expensive than DRAM but offer similar-enough performance and ...

Walk into any modern AI lab, data center, or autonomous vehicle development environment, and you’ll hear engineers talk endlessly about FLOPS, TOPS, sparsity, quantization, and model scaling laws.