Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...

April 16, 2026) – Daployi announced the official launch of its self-hosted edge device management platform, providing DevOps ...

Oracle tackles database infrastructure with its Globally Distributed AI Database, aiming to ensure zero data loss for mission ...

The default mode network (DMN) is a distributed set of interconnected brain regions that has long been associated with ...

Following Volodymyr Panchenko’s earlier conversation with Grit Daily on empowering SMBs, Portal’s latest launch reframes a ...

A complete pipeline that can run on a single workstation to train a humanoid robot to walk over rough terrain.

Strategic investment facilitates collaboration on next-generation AI infrastructure optimized for memory-intensive ...

As AI shifts from cloud training to edge inference, the memory stack is moving beyond data access toward system-level coordination, reshaping controller design, supply chain roles, and value ...

Recent industry trends, including the release of NVIDIA’s Rubin platform (developer.nvidia.com), point to a growing consensus that AI inference is reshaping data center architecture in a fundamental ...

SK Hynix has made a confidential filing for a potential listing in the U.S. this year, as the company looks to expand ...

Anthropic’s new AutoDream feature introduces a fresh approach to memory management in Claude AI, aiming to address the challenges of cluttered and inefficient data storage. As explained by Nate Herk | ...

Abstract: Remote Direct Memory Access (RDMA) has emerged as a critical networking technology in modern data centers, promising high throughput and ultra-low latencies, in addition to sparing vital CPU ...