Phison's CEO predicts growing interest in running AI models, such as OpenClaw, over PCs threatens to extend the memory shortage. It could also solve the crunch too.

How often have you pulled out old MCU-based project that still works fine, but you have no idea where the original source ...

This article explores that question through the lens of a real-world Rust project: a system responsible for controlling ...

Nvidia's KV Cache Transform Coding (KVTC) compresses LLM key-value cache by 20x without model changes, cutting GPU memory costs and time-to-first-token by up to 8x for multi-turn AI applications.

Nvidia's BlueField-4 STX reference architecture inserts a dedicated context memory layer between GPUs and traditional storage, claiming 5x token throughput and 4x energy efficiency for agentic AI ...