MIT researchers developed Attention Matching, a KV cache compaction technique that compresses LLM memory by 50x in seconds — ...

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

Preserved in the margins of ancient literary works are notes that reveal how the Greeks strove to map mythical places onto ...

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 ...

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 ...

If you’ve ever done Linux memory forensics, you know the frustration: without debug symbols that match the exact kernel version, you’re stuck. These symbols aren’t typically installed on production ...

A global certification pathway validates NoSQL expertise through secure testing and digital credentials aligned with ...

The DRAM cache trap—why a simple power outage can instantly corrupt your consumer SSD ...

I always look for these factors when buying an NVMe ...

Researchers at Nvidia have developed a technique that can reduce the memory costs of large language model reasoning by up to eight times. Their technique, called dynamic memory sparsification (DMS), ...

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 ...

Memory chips are a key component of artificial intelligence data centers. The boom in AI data center construction has caused a shortage of semiconductors, which are also crucial for electronics like ...