Google researchers have proposed TurboQuant, a method for compressing the key-value caches that large language models rely on ...

What Google's TurboQuant can and can't do for AI's spiraling cost ...

Google Research recently revealed TurboQuant, a compression algorithm that reduces the memory footprint of large language ...

Enterprise AI applications that handle large documents or long-horizon tasks face a severe memory bottleneck. As the context grows longer, so does the KV cache, the area where the model’s working ...

TurboQuant significantly increases capacity and speeds up key-value cache (KV cache) in AI inference. KV-cache is a type of ...

Micron (MU) looked infallible just days ago, until Alphabet (GOOGL) broke the news that memory may no longer be in extreme ...

The biggest memory burden for LLMs is the key-value cache, which stores conversational context as users interact with AI ...

A more efficient method for using memory in AI systems could increase overall memory demand, especially in the long term.

So far, so futile. Both these approaches are doomed by their respective medium being orders of magnitude slower to access and ...

Machine learning researchers using Ollama will enjoy a speed boost to LLM processing, as the open-source tool now uses MLX on ...

HybridCache is a new API in .NET 9 that brings additional features, benefits, and ease to caching in ASP.NET Core. Here’s how to take advantage of it. Caching is a proven strategy for improving ...