Samsung Electronics Co. is considering a shift toward multi-year contracts for memory chips, a much longer timeframe than is typical that may help stabilize supply and ease concerns about a shortage ...
Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.
Unlike Nvidia's earlier Grace processors, which were primarily sold as companions to GPUs, Vera is positioned as a ...
Humanity now takes more photos every two minutes than were captured in the entire 19th century. Billions are created daily. For many individuals, a single smartphone contains 10,000, 20,000, sometimes ...
Memories.ai is building a large visual memory model that can index and retrieve video-recorded memories for physical AI.
Technology Co-Optimization of Bitline Routing and Bonding Pathways in Monolithic 3D DRAM Architectures,” was published by researchers at Georgia Tech. Abstract “3D DRAM has emerged as a promising ...
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 ...
Nvidia CEO Jensen Huang talks up efforts by the AI technology giant to pave the way for self-evolving, multi-agent systems ...
"Kioxia fully supports the NVIDIA Storage-Next initiative and will deliver purpose-built SSDs to effectively address the need for GPU-accessible memory," said Makoto Hamada, Senior Director of the SSD ...
PC Partner Technology Pte. Limited, a leading global hardware solutions manufacturer, is attending NVIDIA GTC 2026 in San Jose, California from March 16 to March 19, 2026, to showcase the latest ...
A research team led by Lee Hyun Jun and Noh Hee Yeon from the Division of Nanotechnology at DGIST has succeeded in ...
A new neuromorphic device controls hydrogen ions to mimic synaptic learning and memory, achieved for the first time in a vertical two-terminal architecture.