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

This article explores that question through the lens of a real-world Rust project: a system responsible for controlling ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory ...

This release is good for developers building long-context applications, real-time reasoning agents, or those seeking to ...

A new neuromorphic device controls hydrogen ions to mimic synaptic learning and memory, achieved for the first time in a vertical two-terminal architecture.

Highly Expandable PCIe Gen5 Platform Addresses Dual Demands for Performance and Flexibility in AI and Edge Computing ...

New capabilities let engineers build scalable, synchronized multiboard systems with dramatically faster data throughput ...

Abstract: Memory disaggregation architecture presents unique challenges in ensuring data consistency due to the limited computational power available at memory servers. One line of pessimistic ...

There's a RAM shortage at the moment. RAM, as in random access memory. The memory computer keeps immediately at hand, so it can perform tasks quickly. How can that be? Well, as with so much these days ...

Ba-rro: "Our starting point is always the context and what already exists." We are interested in recognizing the value of things simply because they are there, without assuming that everything must be ...

TL;DR: Intel and SoftBank unveiled next-generation ZAM memory prototypes featuring a unique Z-angle interconnect architecture that improves thermal management and reduces power consumption by 40-50%.

A French research team led by CNRS scientists has discovered that cells are able to retain a memory of a previous perturbation within the 3D structure of their genome, independently of their DNA ...