This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to reduce GPU costs in high-volume production environments.

Computers have always kept thinking and remembering in separate rooms. The processor works over here; the memory sits over ...

Nvidia faces competition from startups developing specialised chips for AI inference as demand shifts from training large ...

Phison Electronics (8299TT), a global leader in NAND flash controllers and storage solutions, today announced its GTC ...

AIStor provides a unified data foundation supporting the NVIDIA STX reference architecture, accelerating training, enterprise RAG, and real-time agentic inference throughout the AI lifecycle ...

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage, claiming 5x token throughput and 4x energy efficiency for agentic AI ...

Edge computing is an emerging IT architecture that enables the processing of data locally by smartphones, autonomous vehicles, local servers, and other IoT devices instead of sending it to be ...

A magnetic tunnel junction engineered to produce four distinct resistance states instead of the standard two could double the data density of spintronic memory without requiring additional physical ...

AMD (AMD) and Samsung signed a tentative agreement to expand their collaboration on next-generation AI memory and computing ...

NVIDIA has expanded its long-term AI roadmap, confirming that its next major architecture, codenamed Feynman, is scheduled ...

New research shows global NAND and DRAM shortages are reshaping mobile video surveillance across transit, school ...