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 ...

With the price of RAM getting out of control, it might be a good idea to remind Linux users to enable ZRAM so they can get ...

Google Research published TurboQuant on Tuesday, a training-free compression algorithm that quantizes LLM KV caches down to 3 bits without any loss in model accuracy. In benchmarks on Nvidia H100 GPUs ...

As Large Language Models (LLMs) expand their context windows to process massive documents and intricate conversations, they encounter a brutal hardware reality known as the "Key-Value (KV) cache ...

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 ...

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 ...

The key difference is that the Dual Edition nearly doubles the L3 cache to 196MB, up from 128MB. AMD pulled this off by using its chip-stacking tech for both core chiplet dies (CCDs) on the processor, ...

If your Mac is slowing down, freezing, running out of RAM or storage, and just not behaving like it used to, a good Mac ...

Domain Cache Does This Next Mission Reunion. Full mass line. Can niacin make you dashing to get stone? Persuaded him not sack all around! Worst poet ever? Enterprise distribution ...