Customer needs:

The following blueprint is a common example of an AI deployment, starting from the end user sending a request to getting their response from the their AI models. Typically, these are the basic needs for most customers.

- Customer-hosted AI Training / Inference
- Secure private connectivity to the cloud
- Performant access to private data
- Scalable footprint to support growth

Challenges:

- Train public AI Models on private data

- Integrating private infrastructure

- Maintaining security and compliance of data

- Managing end-to-end AI workflows