Ollama

Discover how far a base Mac mini M4 with 16 GB RAM can go using Ollama. Step-by-step tutorial covering Python SDK integration, OpenAI API drop-in replacements, native Tool Calling, private RAG pipelines, Modelfiles, and MLX LoRA fine-tuning.

Learn how to self-host Meta's Llama 2 model on a minimal $5/month DigitalOcean Droplet using Ollama, swap optimization, and rate-limiting proxies. Includes performance benchmarks and cost comparison with API aggregators like n1n.ai.

Nvidia introduces the Personal AI Router (PAIR), an open-source tool enabling developers to network idle GPUs and Apple Silicon chips into a unified local cluster for distributed LLM inference and agentic workflows.

A deep dive into the architecture, performance benchmarks, and decision frameworks for choosing between vLLM and Ollama for LLM inference in 2026.

A comprehensive guide on implementing local multimodal AI workflows using Ollama, Gemma models, and structured JSON outputs for production-grade applications.

Learn how to optimize and fine-tune small language models (SLMs) like moeinGTS 1.5B for high-speed local inference using LoRA and GGUF quantization.

A comprehensive guide to building local, privacy-focused CLI agents using Python, Ollama, and advanced ReAct logic, with a path to scaling via n1n.ai.

A comprehensive technical tutorial on deploying local large language models using Ollama, covering hardware optimization, quantization, and RAG implementation for maximum privacy and zero cost.

A deep dive into the 2026 landscape of local LLMs for developers, comparing the powerhouse Qwen3-Coder 32B against GLM-4.7 and DeepSeek, with hardware requirements and implementation guides.

Learn how to deploy a private, OpenAI-compatible LLM endpoint on Oracle Cloud Infrastructure using Ollama and Container Instances without the complexity of Kubernetes.

Learn how to build a production-ready RAG agent that runs entirely on your local machine with zero API keys using LangGraph, Ollama, and Qdrant's embedded mode.

A comprehensive guide on transitioning from local LLMs to autonomous tool-using agents using Google's Gemma, Ollama, the OpenAI Agents SDK, and Tavily MCP.