Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context and faster real-time AI inference.

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.

Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in large language models to 3.5 bits per channel, cutting memory consumption ...

Cache memory sits at the heart of modern computing performance, bridging the speed gap between processors and main memory. By leveraging principles like temporal and spatial locality, engineers design ...

Many people have heard the term cache coherency without fully understanding the considerations in the context of system-on-chip (SoC) devices, especially those using a network-on-chip (NoC). To ...

Ever since AMD introduced Zen, all CPUs based on the architecture have shown that they are especially sensitive to memory speed, as well as other timings. Using faster RAM could give a sizable ...

AMD has brought its innovative 3D V-Cache tech to professional office desktops and high-performance workstation computers for ...

Google is introducing a significant change to Chrome's Back/Forward Cache (BFCache) behavior, allowing web pages to be stored in the cache, even if a webmaster specifies not to store a page in the ...

At NXT BLD today Lenovo introduced the ThinkStation P4, a compact desktop workstation that brings AMD’s Ryzen Pro platform ...

If you're having PC memory issues, you might assume clearing your RAM's cache might sound like it'll make your PC run faster. But be careful, because it can actually slow it down and is unlikely to ...