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.

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 ...

LLC, positioned between external memory and internal subsystems, stores frequently accessed data close to compute resources.

LONDON, Feb 20 (Reuters Breakingviews) - Not long ago, memory chip makers were in crisis. A post-pandemic supply glut in 2023 pushed prices into freefall, wiping out operating profits across the ...

Phison’s CEO agrees the RAM crisis could get bad in 2H 2026. Phison’s CEO agrees the RAM crisis could get bad in 2H 2026. is a senior editor and founding member of The Verge who covers gadgets, games, ...

A supply crunch and rising prices in the memory chip market are expected to continue through 2027, according to a leading semiconductor industry executive, underscoring concerns that the AI-driven ...

In an effort to work faster, our devices store data from things we access often so they don’t have to work as hard to load that information. This data is stored in the cache. Instead of loading every ...

Based on a Belgian novel and film, the thriller focuses on a killer-for-hire who may be suffering from Alzheimer's. By Daniel Fienberg Chief Television Critic Because Angelo isn’t a boring suburban ...

Tech companies have raced to build out compute capacity to fuel their AI ambitions but are now faced with a new bottleneck: memory capacity. The crunch comes as workloads shift from training models to ...

AMD recently published a new patent that reveals that the company is working on making its 3D V-cache tech even better. Back in early 2021, we started hearing the first whispers and murmurs of a new ...