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Learn about three different approaches for running AI models in development environments through this 18-minute tutorial. Explore the pros and cons of running AI models locally using Ollama, containerizing them with Docker, and deploying them in cloud environments. Discover why cloud-based solutions might be preferable for many developers, especially when working with resource-intensive AI models. Follow along as the instructor demonstrates creating an AI template using Ollama and the LLama model, setting up an AI workspace, and leveraging Cloud Development Environment (CDE) benefits for more efficient AI development workflows. Gain practical insights into choosing the right deployment strategy for your AI projects based on factors like resource requirements, scalability, and development team collaboration needs.
