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.

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

Modern multicore systems demand sophisticated strategies to manage shared cache resources. As multiple cores execute diverse workloads concurrently, cache interference can lead to significant ...

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 ...

As the demand for real-time data processing escalates, the technology behind Compute Express Link, known as CXL, is emerging as a critical solution for modern data centers. CXL memory is one solution ...

A magnetic tunnel junction engineered to produce four distinct resistance states instead of the standard two could double the data density of spintronic memory without requiring additional physical ...

At the Huawei Product & Solution Launch during MWC Barcelona 2026, Yuan Yuan, President of Huawei Data Storage Product Line, officially launched Huawei's AI Data Platform. The platform integrates ...

Redis, the company behind the popular in-memory data store, which is often used as a cache, vector database or streaming engine, today announced the launch of Redis 8. With this release, the company ...

Marvell Technology, Inc. (NASDAQ: MRVL), a leader in data infrastructure semiconductor solutions, today announced Marvell® ...

Nvidia wants to own your AI data center from end to end ...

At the Huawei AI DC Innovation Forum at MWC Barcelona 2026, Huawei unveiled its AI Data Platform, designed to address the key challenges in adopting AI agents and strengthen the data foundation for ...