Open Source
Open-weight models and community tooling.
Open-Weight Models: Llama, Mistral, and Qwen Compared
The open-weight field is crowded and competitive. Here is how the leading families stack up for real projects.
Self-Hosting Your AI Stack: A Practical 2026 Guide
From model choice to serving and monitoring, here is a sane blueprint for running AI on your own infrastructure.
llama.cpp: AI That Runs Anywhere, Even on a Laptop CPU
Quantization plus a tiny footprint let llama.cpp run capable models on hardware that has no business running AI.
vLLM: The High-Throughput Engine Behind Production Inference
PagedAttention and continuous batching make vLLM the default choice for serving open models at scale. Here is the why.
Ollama: Run Powerful LLMs Locally in One Command
Ollama makes local AI absurdly simple. Here is how to get started and why privacy-conscious teams love it.
Top 3 Open-Source AI Tools You Should Be Using in 2026
Local inference, high-throughput serving, and effortless model running — the three open-source tools worth your time this year.
Llama 3 is Here: Meta's Gift to the Open Source Community
Meta has officially released Llama 3, and the benchmarks are staggering. Is this the end of proprietary model dominance?