How to Run AI Models Locally and in the Cloud with Ollama
Run large language models on your own machine with Ollama — and offload the big ones to the cloud — with install steps, the local API, and Ollama Cloud.
I am Zareef Ahmed. For over two decades, I have designed, built, and architected software across in-house and cloud environments. Today, I help engineering teams put AI to work by modernizing legacy stacks, adopting generative code workflows, and shipping reliable production systems built for the AI era with practical architecture, automation, and hard-earned delivery experience.
My specialty: offline, on-premise AI deployments. I help organizations run generative AI entirely inside their own infrastructure, so they get the productivity gains without surrendering privacy, data control or security. Connect with me on LinkedIn to discuss how private, secure, and production-ready AI can work for your organization.
My current focus: experimenting with generative AI for code generation. Using tools like Claude Code and GitHub Copilot to design, build and review real software — moving faster while staying the human quality control behind every line.
Run large language models on your own machine with Ollama — and offload the big ones to the cloud — with install steps, the local API, and Ollama Cloud.
Install and sign in to the OpenAI Codex CLI, the terminal coding agent — with notes on approval modes and staying in control.
Get GitHub Copilot running in VS Code and JetBrains — prerequisites, sign-in, and how to use inline suggestions and chat.
Curious about AI-assisted development, machine learning or cloud? Want to collaborate or talk shop? Reach out.