| ------------------------------------- |
| Provisioning Infrastructure/Deploying |
| ------------------------------------- |
| |
| Burr is not opinionated about the method of deployment/cloud one uses. Any method that can run python code, or web-service will work |
| (AWS, vercel, etc...). Note we aim to have more examples here -- see `this issue <https://github.com/DAGWorks-Inc/burr/issues/390>`_ to track! |
| |
| - `Deploying Burr in an AWS lambda function <https://github.com/DAGWorks-Inc/burr/tree/main/examples/deployment/aws/lambda>`_ |
| - `Deploying Burr using BentoML <https://github.com/DAGWorks-Inc/burr/tree/main/examples/deployment/aws/bentoml>`_ |
| |
| |
| Using BentoML |
| ------------- |
| `BentoML <https://github.com/bentoml/BentoML>`_ is a specialized tool to package, deploy, and manage AI services. |
| For example, it allows you to create a REST API for your Burr application with minimal effort. |
| See the `Burr + BentoML example <https://github.com/DAGWorks-Inc/burr/tree/main/examples/deployment/aws/bentoml>`_ for more information. |
