7/28/2026
What this post added
This post serves as a foundational overview of the Baseten platform, detailing its core capabilities for training, deploying, and serving AI models. It introduces Truss for model packaging and deployment, highlights various inference engines optimized for different model architectures, and explains the concept of Chains for orchestrating multi-step AI workflows. The post also covers Baseten's production infrastructure, including autoscaling, multi-cloud capacity management, and observability features. It outlines different user paths for building AI applications, deploying models, and training/fine-tuning.