Memory bandwidth is crucial for GPU performance, impacting rendering resolutions, texture quality, and parallel processing.

Intel recently demonstrated a new type of DIMM memory technology called Multiplexer Combined Rank (MCR), also referred to as MRDIMMs, that provides up to 2.3X better performance for HPC workloads and ...

There are lots of ways that we might build out the memory capacity and memory bandwidth of compute engines to drive AI and HPC workloads better than we have been able to do thus far. But, as we were ...

Generative AI (Gen AI), built on the exponential growth of Large Language Models (LLMs) and their kin, is one of today’s biggest drivers of computing technology. Leading-edge LLMs now exceed a ...

Memory is one of the biggest bottlenecks in machine learning. In a turn of events, AI accelerators used to train machine-learning (ML) models in the data center and processors to execute them can only ...

Smart memory node device from UniFabriX is designed to accelerate memory performance and optimize data-center capacity for AI workloads. Israeli startup UniFabriX is aiming to give multi-core CPUs the ...

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 ...

Remember the GeForce GTX 280? The "GT200" GPU was a gigantic beast that maxed out the limits of the "Tesla" design it was based on. It boasted 32 ROPs and something almost unseen in graphics cards ...