Researchers at North Carolina State University have developed a new AI-assisted tool that helps computer architects boost ...

Large language models (LLMs) aren’t actually giant computer brains. Instead, they are massive vector spaces in which the ...

Abstract: With the popularity of cloud services, Cloud Block Storage (CBS) systems have been widely deployed by cloud providers. Cloud cache plays a vital role in maintaining high and stable ...

At 100 billion lookups/year, a server tied to Elasticache would spend more than 390 days of time in wasted cache time. Cachee reduces that to 48 minutes. Everyone pays for faster internet. For ...

Any software that claims to be independent from hardware is inefficient, bloated software. The time for such software development is over.

Alphabet ( GOOGL 0.57%) ( GOOG 0.15%) has already proven itself to be one of the most innovative companies in the area of ...

Abstract: Distributed cache is capable of accelerating the process of retrieving an enormous amount of data. In order to optimize the cache performance in distributed environment, we present an ...

TurboQuant is a compression algorithm introduced by Google Research (Zandieh et al.) at ICLR 2026 that solves the primary memory bottleneck in large language model inference: the key-value (KV) cache.

Researchers at Tsinghua University and Z.ai built IndexCache to eliminate redundant computation in sparse attention models like DeepSeek and GLM. The training-free technique cuts 75% of indexer ...

For about four years now, AMD has offered special “X3D” variants of its high-end desktop processors with an extra 64MB of L3 cache attached, an addition that disproportionately benefits games. AMD ...

Within 24 hours of the release, community members began porting the algorithm to popular local AI libraries like MLX for Apple Silicon and llama.cpp.