local ai

Could you share the article text or a link? I’ll craft a precise 250–500 character synopsis based on it. If you don’t have the content handy, I can write a generic synopsis on “Vector Databases for Local AI” covering embeddings, RAG, on-device indexing, privacy, tools (FAISS, Milvus, Chroma), and performance/hardware trade-offs—just say the target audience.

I don’t have the article content. Please paste the text or share a link, and I’ll provide a 250–500 character synopsis. If you’d prefer a general synopsis of “running AI locally with Ollama” instead, let me know and I can draft one.

Breaks down running AI on Linux locally versus in the cloud: when to choose each, trade-offs in latency, privacy, offline use, scalability, and cost. Details GPU/driver needs (CUDA/ROCm), frameworks and runtimes, containers, and model sizing. Includes guidance for LLM inference, vision, and fine-tuning, plus hybrid workflows, cost modeling, and security/compliance considerations to help pick the right stack.