As AI workloads continue to diversify, the systems that support them are evolving just as quickly. AI is no longer confined to the hyperscale data center. It is moving to the factory floor, into ...

How AMD Gear 1 and Gear 2 balance memory speed, latency, and bandwidth for different workloads.

SAN JOSE, Calif.--(BUSINESS WIRE)--Rambus Inc. (NASDAQ: RMBS), a premier chip and silicon IP provider making data faster and safer, today announced the industry’s first HBM4 Memory Controller IP, ...

Chip and silicon intellectual property technology company Rambus Inc. today announced HBM4E Memory Controller IP, a new solution that delivers breakthrough performance with advanced reliability ...

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

TOKYO--(BUSINESS WIRE)--Kioxia Corporation, a world leader in memory solutions, has successfully developed a prototype of a large-capacity, high-bandwidth flash memory module essential for large-scale ...

The pace of AI innovation continues to expose a painful reality. Compute keeps scaling, but memory bandwidth remains one of the hardest bottlenecks to remove. As AI models grow larger and more complex ...

A new technical paper titled “Controlled Shared Memory (COSM) Isolation: Design and Testbed Evaluation” was published by researchers at Arizona State University and Intel Corporation. “Recent memory ...

High Bandwidth Memory (HBM) is the commonly used type of DRAM for data center GPUs like NVIDIA's H200 and AMD's MI325X. High Bandwidth Flash (HBF) is a stack of flash chips with an HBM interface. What ...

The title pretty much says it all. I've been hearing about how much the on-die memory controller increases the performance of AMD's A64 chips, but I don't know how. Is it from reduced latiences? or ...