WizModel

You send a request to a single API and get a model's output back, without writing much code around it.

That is the basic idea behind WizModel, an AI API platform for deploying, scaling and running machine learning models.

If you have your own model, a tool called Cog2 packages it into a production-ready container and generates a scalable API server for it.

The server handles dependencies, GPU configuration and scaling, which are the parts that usually eat the most time when a model moves out of a notebook.

If you would rather not build anything, WizModel also lets you browse thousands of models shared by the community and call them through the same unified API.

That makes it a practical place to try open source models, including large language models, before you commit to one.

Developers who want inference without managing infrastructure are the clear audience.