Host Ollama on Salad Cloud Easily

In this video, Prompt Engineer demonstrates how to host Ollama models on the cloud using Salad Cloud and Open WebUI. The video begins with an overview of the Open WebUI interface, which resembles a ChatGPT-like interface, and shows how to select and run models like Mistal 7B. The host explains that Salad Cloud offers affordable cloud hosting options for AIML applications and shares their experience testing various use cases.

The tutorial starts by setting up an organization on Salad Cloud and creating a container group to deploy the Ollama model. The host guides viewers through configuring the container, selecting the necessary resources, and deploying the instance. Once the instance is running, the host uses Visual Studio Code to prepare a script for testing the endpoint provided by Salad Cloud.

Next, the host demonstrates how to connect the running instance of Ollama to the Open WebUI by modifying the Docker command with the Salad Cloud endpoint. This setup allows users to run models on the cloud instead of their local systems, providing flexibility and efficiency. The host tests the setup by running various models and showcasing the speed and performance of the cloud-hosted instance.

The video concludes with a summary of the steps taken to host Ollama on Salad Cloud and connect it to Open WebUI. The host encourages viewers to explore the benefits of cloud hosting for their AIML applications and hints at future videos covering more advanced setups. The video is sponsored by Salad, and the host expresses genuine appreciation for the platform’s capabilities.

Overall, the video provides a comprehensive guide to setting up and hosting Ollama models on the cloud, making it accessible for users to deploy and manage their AI models efficiently.