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 ...

Forward-looking: It's no secret that generative AI demands staggering computational power and memory bandwidth, making it a costly endeavor that only the wealthiest players can afford to compete in.

If Google’s AI researchers had a sense of humor, they would have called TurboQuant, the new, ultra-efficient AI memory compression algorithm announced Tuesday, “Pied Piper” — or, at least that’s what ...

Vector quantization, stock dips & RAMageddon – the real story behind how a memory compression algorithm went viral ...

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 ...

Context windows are becoming a computational bottleneck. The longer an agent runs, the more tokens accumulate from retrieved documents, reasoning traces and conversation history, and the more memory ...

Windows 11 has a habit of doing things quietly in the background and then getting blamed for them later. Memory compression is one of those features. It sounds like a gimmick and immediately gets ...

Something to look forward to: High-resolution textures are a primary factor behind the growing install sizes and VRAM usage in modern blockbuster games. Nvidia proposed a neural-network-based method ...