“The rapid growth of LLMs has revolutionized natural language processing and AI analysis, but their increasing size and memory demands present significant challenges. A common solution is to spill ...

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 ...

The speed of data transfer between memory and the CPU. Memory bandwidth is a critical performance factor in every computing device because the primary CPU processing is reading instructions and data ...

TL;DR: Apple's new M4 Max processor features up to 16 CPU cores, 40 GPU cores, and supports up to 128GB of unified memory, offering 546GB/sec of memory bandwidth. It is claimed to be 400% faster than ...

Nine X3D CPUs, two platforms, and 14 games tested. We compare every Ryzen 5 and 7 X3D processor to find out how much performance has improved ...

SK Hynix and Taiwan’s TSMC have established an ‘AI Semiconductor Alliance’. SK Hynix has emerged as a strong player in the high-bandwidth memory (HBM) market due to the generative artificial ...

The company’s new high bandwidth memory version is only available with the CPU-GPU Superchip. In addition, a new dual Grace-Hopper MGX Board offers 282GB of fast memory for large model inferencing.

Google researchers have warned that large language model (LLM) inference is hitting a wall amid fundamental problems with memory and networking problems, not compute. In a paper authored by ...

If large language models are the foundation of a new programming model, as Nvidia and many others believe it is, then the hybrid CPU-GPU compute engine is the new general purpose computing platform.

The scaling of computational power within a single, packaged semiconductor component continues to rise following a Moore’s law type curve enabling new and more capable applications including machine ...