Artificial intelligence has been bottlenecked less by raw compute than by how quickly models can move data in and out of memory. A new generation of memory-centric designs is starting to change that, ...

While GPUs and CPUs continue to scale, traditional DRAM remains fixed, fragmented, and underutilized — stalling inference workloads, creating unnecessary and repetitive GPU processing, and driving up ...

Experienced musicians tend to possess an advantage in short-term memory for musical patterns and a small advantage for visual ...

AI infrastructure company EverMind today released results from its unified, production-grade evaluation framework designed to ...

FMS connects top technologists, product leaders, analysts, investors, and enterprise end users across the global ecosystem. Marking its 20th anniversary, FMS26 will deliver an expanded program ...

It won't be long now before we can run some officially sanctioned benchmarks with finalized Alder Lake silicon, assuming no last minute delays put a cramp in Intel's plans to release its next-gen CPUs ...

Memory swizzling is the quiet tax that every hierarchical-memory accelerator pays. It is fundamental to how GPUs, TPUs, NPUs, ...

The MarketWatch News Department was not involved in the creation of this content. CHICAGO, Sept. 9, 2025 /PRNewswire/ -- Kove, creator of software-defined memory Kove:SDM(TM), today announced ...

CHICAGO, Sept. 9, 2025 /PRNewswire/ -- Kove, creator of software-defined memory Kove:SDM™, today announced benchmark results proving that Redis and Valkey — two of the most widely used engines in AI ...