Penguin Solutions today announced its MemoryAI KV cache server, the industry's first production-ready KV cache server ...

Your budget SSD only feels fast because a tiny SLC cache is hiding the painfully slow memory chips ...

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

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

It's a cool thing to have. But a worthy investment? Maybe not.

TurboQuant vector quantization targets KV cache bloat, aiming to cut LLM memory use by 6x while preserving benchmark accuracy ...

An AI tool improves processor speed by studying cache use and helping make memory decisions without repeated testing and ...

The dynamic interplay between processor speed and memory access times has rendered cache performance a critical determinant of computing efficiency. As modern systems increasingly rely on hierarchical ...

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

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

Large-scale applications, such as generative AI, recommendation systems, big data, and HPC systems, require large-capacity ...