#python#deep_learning#inference#llm#nlp#pytorch#transformer
Nano-vLLM is a small, fast, and easy-to-understand tool for running large language models offline. It matches the speed of bigger systems like vLLM but uses only about 1,200 lines of clean Python code, making it simple to read and modify. It includes smart features like prefix caching and tensor parallelism to boost performance. You can install it easily and run models like Qwen3-0.6B on your own GPU. This tool is great if you want fast, efficient AI inference without complex setups, ideal for learning, research, or small deployments on limited hardware.
https://github.com/GeeeekExplorer/nano-vllm
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📰 FRANK OS 1.0 Launches With a Retro Windows 95-Like Desktop
FRANK OS 1.0 debuts with a windowed desktop inspired by Windows 95, running on RP2350 microcontrollers using the FreeRTOS kernel.
🔗 Source: https://linuxiac.com/frank-os-launches-with-a-retro-windows-95-like-desktop/
#kernel
📰 FreeBSD's Rust Kernel Support Could Be Stable Enough To Try This Year
The FreeBSD Project has published their Q4'2025 status report to outline progress made on their software, infrastructure, and other initiatives over the past quarter. Meanwhile among the work to look forward to this year in FreeBSD is getting their Rust kernel driver support up to scratch...
🔗 Source: https://www.phoronix.com/news/FreeBSD-Q4-2025-Status-Report
#kernel