The dynamic interplay between processor speed and memory access times has rendered cache performance a critical determinant of computing efficiency. As modern systems increasingly rely on hierarchical ...

You can’t cheaply recompute without re-running the whole model – so KV cache starts piling up Feature Large language model ...

As agentic AI moves from experiments to real production workloads, a quiet but serious infrastructure problem is coming into ...

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 ...

How lossless data compression can reduce memory and power requirements. How ZeroPoint’s compression technology differs from the competition. One can never have enough memory, and one way to get more ...

Amorphous oxide semiconductors like IGZO (indium gallium zinc oxide) offer acceptable carrier mobility with very low leakage.

Understanding GPU memory requirements is essential for AI workloads, as VRAM capacity--not processing power--determines which models you can run, with total memory needs typically exceeding model size ...

If you're having PC memory issues, you might assume clearing your RAM's cache might sound like it'll make your PC run faster. But be careful, because it can actually slow it down and is unlikely to ...