digitalocean-agentic-cloud

To deploy AI agents on DigitalOcean, you use the Gradient AI platform to provision managed GPU infrastructure for both training and inference. This simplifies configuration by abstracting away complex infrastructure setup for scalable AI operations.

Agent routing in cloud deployments directs tasks to configured foundation models and attached knowledge bases. This workflow design allows complex AI operations to scale efficiently by managing inference logic across GPU-backed infrastructure.

Yes, you can configure custom knowledge bases for AI agents on DigitalOcean Gradient AI. The platform supports attaching knowledge bases to foundation models and setting up agent routing for complex AI workflows.

Managed GPU infrastructure is required when your custom AI agents need significant compute power for training and inference. Using DigitalOcean's Gradient AI platform abstracts away the complex setup and provisioning of these underlying hardware resources.

The best way to scale complex AI agent workflows is leveraging managed cloud services like DigitalOcean's Gradient AI. It handles GPU resource provisioning and integrates agent routing with foundation models for efficient, scalable operations.

You should not use managed cloud infrastructure for AI agent deployment if your custom models require highly specialized on-premise hardware or if your workflow demands granular, low-level configuration beyond abstracted GPU provisioning and routing.