Cache memory sits at the heart of modern computing performance, bridging the speed gap between processors and main memory. By leveraging principles like temporal and spatial locality, engineers design ...

Google AI breakthrough TurboQuant reduces KV cache memory 6x, improving chatbot efficiency, enabling longer context and ...

Batch size has a significant impact on both latency and cost in AI model training and inference. Estimating inference time ...

Is your iPhone feeling sluggish or running out of storage space? Clearing cached files is a practical way to optimize your device’s performance and free up valuable storage. The video below from ...

The cost for computer memory has surged this year; demand from the AI industry has grown out of hand. Here’s what you need to know before buying a new laptop this year. From the laptops on your desk ...

Nelson Dellis is a six-time US memory champion who once memorised the order of a shuffled deck of cards in 40.7 seconds and knows the first 10,000 digits of pi. Now, scientists have studied his brain ...

TL;DR: Google developed three AI compression algorithms-TurboQuant, PolarQuant, and Quantized Johnson-Lindenstrauss-that reduce large language models' KV cache memory by at least six times without ...

Running a 70-billion-parameter large language model for 512 concurrent users can consume 512 GB of cache memory alone, nearly four times the memory needed for the model weights themselves. Google on ...

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 ...

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 ...

The scaling of Large Language Models (LLMs) is increasingly constrained by memory communication overhead between High-Bandwidth Memory (HBM) and SRAM. Specifically, the Key-Value (KV) cache size ...