This article outlines the design strategies currently used to address these bottlenecks, ranging from data center systolic ...

Abstract: Recent memory-sharing approaches, e.g., based on the Compute Express Link (CXL) standard, allow the flexible high-speed sharing of data (i.e., data communication) among multiple hosts. In ...

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

Samsung Electronics Co., Ltd. today announced it has signed a Memorandum of Understanding (MOU) with AMD to expand their strategic collaboration on next-generation AI memory and computing technologies ...

Cadence, Dassault Systèmes, Siemens and Synopsys are building NVIDIA-powered AI agents to plan, optimize and verify complex chip and system workflows.

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 ...

Amazon Web Services (AWS), Google Cloud, Microsoft Azure and Oracle Cloud Infrastructure (OCI) are delivering NVIDIA ...

Obsidian’s offline vault gives Claude Code a persistent project memory, reducing repeat instructions during long, complex coding work.

Samsung (SSNLF) teams with Nvidia (NVDA) on ferroelectric NAND chips using AI that's 10,000x faster than traditional methods.

The Nothing Phone 4a brings signature design, reliable performance and excellent battery life to the mid-range segment. Here is our detailed review of the Phone 4a, after using the device for over a ...

MRAM memory design stores code and data in one chip, enabling boot, updates, and storage for AI, automotive, and more.

Lightbits Labs Ltd. today is introducing a new architecture aimed at addressing one of the most stubborn bottlenecks in large-scale artificial intelligence inference: the growing mismatch between the ...