Use Cases
10 Things You Can Do With Local AI That Cloud Can't Touch
Local AI handles sensitive data, works offline, costs nothing per query, and never gets deprecated. Ten real use cases where running models on your own hardware beats any cloud API.
Best Local LLMs for Translation: What Actually Works
NLLB handles 200 languages on 3GB VRAM. Qwen 2.5 matches DeepL for European pairs. Opus-MT runs at 300MB per direction. Which local translation model fits your hardware and language needs.
Best Local LLMs for Data Analysis
Qwen 2.5 Coder 32B writes better pandas code than GPT-4 did a year ago. DeepSeek Coder V2 generates accurate SQL on 12GB VRAM. Model picks by task, prompting strategies, and a practical LLM + Python workflow.