This is where small outline compression attached memory modules (SOCAMMs) fit in. Frank Ferro, group director for product ...

“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 ...

According to Klein, AMD is best positioned with CPU, FPGA, and GPU, and less capacity constrained than INTC as they use TSM.

Intel was the first of the major CPU makers to add HBM stacked DRAM memory to a CPU package, with the “Sapphire Rapids” Max Series Xeon SP processors. But with the “Granite Rapids” Xeon 6, Intel ...

Artificial intelligence (AI) infrastructure is evolving faster than traditional server hardware cycles can accommodate. As AI workloads expand in scale and data intensity, memory architecture has ...

AMD held its Advancing AI 2024 event last week, where it launched its latest datacenter silicon—the 5th Generation EPYC processor (codenamed “Turin”) and the MI325X AI accelerator. On the networking ...

Intel’s strong Q1 results and forecasts for rising CPU demand in AI workloads have ignited a rally across semiconductor stocks, with Micron hitting record highs. Agentic AI is shifting data center ...

Does the 2026 M5 Max crush the M1 Max? With an 18-core CPU and 8x faster AI image generation, the 5-year gap is wider than ...

A global CPU shortage is disrupting PC and industrial-computing supply chains, as processors are out of stock even at premium prices, while memory is limited but purchasable. The scarcity threatens ...