Ollama, local models, Docker deployment, and hardware requirements. 10 articles, written by the engineers building AI App Lab.
Ollama Open WebUI: self-hosted ChatGPT alternative. Docker install, multi-user auth, RAG document Q&A, model management, arena A/B testing, image generation, web search, admin panel, and production checklist for 2026.
Ollama VPS setup: install on cloud servers (AWS, DigitalOcean, Linode), GPU vs CPU, systemd service, OLLAMA_HOST remote access, Nginx reverse proxy, TLS, firewall, SSH tunnel, security, and production checklist for 2026.
Ollama tutorial: run LLMs locally for free. Install on Mac/Linux/Windows, pull llama3.2/qwen2.5/deepseek-r1, OpenAI-compatible API at localhost:11434, Python SDK integration, streaming, structured output, RAG, and production checklist for 2026.
Local LLM model selection 2026: Qwen3 vs DeepSeek-R1 vs Llama 3.3 vs Phi-4 vs Gemma 3. Benchmarks, VRAM tiers, use case decision table, quantization Q4_K_M Q5_K_M, coding vs reasoning vs general, and production checklist.
Ollama Docker production: docker-compose with GPU passthrough, persistent model storage, NVIDIA Container Toolkit, healthcheck, restart policy, Redis caching, Open WebUI, version pinning, and production checklist for 2026.
Local LLM hardware requirements 2026: VRAM tiers (4GB-64GB), GPU comparison (RTX 4060-5090), Apple Silicon M4 unified memory, CPU inference, RAM, NVMe SSD, power supply, budget tiers, and production checklist.
Open source LLM models 2026: Llama 3.3, Mistral, Qwen3, DeepSeek-R1, Phi-4, Gemma 4. License comparison (Apache 2.0, MIT, Llama), commercial use, benchmarks, Hugging Face GGUF, Ollama, and production checklist.
Ollama Nginx reverse proxy: TLS with Let's Encrypt, Basic Auth, rate limiting, proxy_buffering off for streaming, proxy_read_timeout 600s, block management endpoints, WebSocket support, and production checklist for 2026.
Ollama REST API: /api/chat, /api/generate, /api/embeddings, /api/pull, /api/show, /api/delete, /api/tags, /api/ps, /api/create, /api/copy. Streaming JSON, options, format, keep_alive, and production checklist for 2026.
LLM quantization 2026: GGUF Q4_K_M, AWQ INT4, GPTQ, FP8, MLX. Perplexity benchmarks, MMLU loss, VRAM savings, throughput comparison, production recommendations, use case decision table, and checklist.