Clarifai 12.2: Three-Command CLI Workflow for Model Deployment
Blog post from Clarifai
Clarifai 12.2 introduces a streamlined three-command CLI workflow to simplify model deployment, significantly reducing the complexity and manual coordination typically required in moving models from development to production. This new approach consolidates the deployment process into the commands 'model init,' 'model serve,' and 'model deploy,' efficiently handling tasks like scaffolding, local testing, and production deployment with automatic infrastructure provisioning and GPU selection. Additionally, the update enhances model training by integrating Training on Pipelines, allowing models to be trained directly within pipeline workflows using dedicated compute resources, and supports video intelligence through the UI to enable real-time AI analysis of video streams. Improvements also include enhanced artifact lifecycle management, expanded deployment capabilities with dynamic nodepool routing, and support for new cloud providers like DigitalOcean and Azure, while the updated UI and Python SDK improvements further enhance usability and deployment visibility.
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