Create custom environments for deployments on Baseten

Baseten introduces custom environments for ML model deployments, allowing developers to create production-ready environments with auto-scaling settings and persistent endpoints. Custom environments enable seamless rollback to previous model versions and streamlined model promotions between testing, staging, and production stages. This feature enhances the reliability of models in production, speeds up development cycles, and ensures a smooth promotion flow. Baseten's custom environments stand out for their developer-first experience and setting new standards for ML deployment workflows.