Google researchers have published a new quantization technique called TurboQuant that compresses the key-value (KV) cache in ...

When investors scan the AI semiconductor equipment space, two names dominate the conversation: ASML (NASDAQ:ASML | ASML Price Prediction), with its cutting-edge lithography monopoly, and ACM Research ...

Abstract: Modern processors use caches to reduce memory access time. However, their limited size leads to frequent misses, requiring an efficient replacement policy. The Least Recently Used (LRU) ...

Google published a research blog post on Tuesday about a new compression algorithm for AI models. Within hours, memory stocks were falling. Micron dropped 3 per cent, Western Digital lost 4.7 per cent ...

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.

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

Google’s TurboQuant has the internet joking about Pied Piper from HBO's "Silicon Valley." The compression algorithm promises ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI chatbots. The cache grows as conversations lengthen, ...

Even if you don’t know much about the inner workings of generative AI models, you probably know they need a lot of memory. Hence, it is currently almost impossible to buy a measly stick of RAM without ...