Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context and ...

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 ...

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 ...

Batch size has a significant impact on both latency and cost in AI model training and inference. Estimating inference time ...

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 ...

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 ...

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 ...

Why it matters: A RAM drive is traditionally conceived as a block of volatile memory "formatted" to be used as a secondary storage disk drive. RAM disks are extremely fast compared to HDDs or even ...