NornicDB - MIT license - GPU accelerated - neo4j drop-in replacement - native embeddings and MCP server + stability and reliability updates

What I learned building Python notebooks to run any AI model (LLM, Vision, Audio) — across CPU, GPU, and NPU

Mile: a tiny engine with big GPU dreams (ai text)

rust-gpu atomics issue

“I got tired of WebView-based apps. So I started building a GPU-first UI engine in Rust.”

I made some Jupyter notebooks to run any AI models (Vision, LLM, Audio) locally — CPU, GPU, or NPU

How are these two crates related: "rust-gpu" and "wgpu"

Quick Python Project to Build a Private AI News Agent in Minutes on NPU/GPU/CPU

A kernel stack use-after-free: Exploiting Nvidia's GPU Linux drivers

The G in GPU is for Graphics damnit