Tether successfully integrated Google’s TurboQuant into the inference engine of its local AI framework, QVAC. It is the ...

Companies running large language models face a persistent bottleneck: the memory consumed by key-value caches during inference grows with every token generated, forcing operators to choose between ...

Google Presents New Quantization Methods to Enhance Vector Search Efficiency Google researchers are presenting new quantization algorithms designed to compress high-dimensional vectors, which are ...

Accurate and precise viral titers are critical in cell & gene therapy and vaccine manufacturing, where dosing, safety margins, and product comparability are tightly linked to reliable vector ...

The stock prices of Micron Technology Inc (Nasdaq: MU) and SanDisk Corp (Nasdaq: SNDK), two of the top publicly traded memory chip storage companies, are taking a beating this week, halting a stunning ...

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 ...

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 ...

Object-Centric Learning (OCL) aggregates image or video feature maps into object-level feature vectors, termed \textit{slots}. It's self-supervision of reconstructing the input from slots struggles ...

Huawei’s Computing Systems Lab in Zurich has introduced a new open-source quantization method for large language models (LLMs) aimed at reducing memory demands without sacrificing output quality.

This is a feature request to add a new 8-bit quantization method called Product Quantization with Residuals (PQ-R) to the bitsandbytes library. What is PQ-R? PQ-R is a hybrid quantization algorithm ...