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 ...

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 effectively massive vector spaces in ...

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, ...

Google’s TurboQuant cuts AI memory use by 6x and speeds up inference. But will it cause DRAM prices to drop anytime soon? Let ...

In the eighties, computer processors became faster and faster, while memory access times stagnated and hindered additional performance increases. Something had to be done to speed up memory access and ...

AMD's 7800X3D and 7950X3D CPUs reign supreme in the gaming realm, not solely due to their core count or clock speeds, but primarily owing to their abundant cache. CPU cache refers to a small yet ...

AMD recently published a new patent that reveals that the company is working on making its 3D V-cache tech even better. Back in early 2021, we started hearing the first whispers and murmurs of a new ...

Compute Express Link, otherwise known as CXL, is set to revolutionise the datacentre. So, what is it and what are the benefits? Memory management is a key element that enables datacentres to utilise ...