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 ...

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 ...

A new technical paper titled “Accelerating LLM Inference via Dynamic KV Cache Placement in Heterogeneous Memory System” was published by researchers at Rensselaer Polytechnic Institute and IBM. “Large ...

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 ...

Big quote: Light, not silicon, could someday define how artificial intelligence stores and recalls its knowledge. That's the idea that recently surfaced when John Carmack – the engineer known for his ...

Generative AI is arguably the most complex application that humankind has ever created, and the math behind it is incredibly complex even if the results are simple enough to understand. GenAI also it ...

AMD's 7800X3D and 7950X3D CPUs reign supreme in the gaming realm, not solely due to their core count or clock speeds, but primarily owing to their abundant cache. CPU cache refers to a small yet ...

If you've ever been computer shopping, you'll undoubtedly have heard the term RAM thrown around willy-nilly. You might know a few things about RAM, such as that it's one of the most important parts in ...