Developer Advocate
Machine learning infrastructure that just works
Baseten provides all the infrastructure you need to deploy and serve ML models performantly, scalable, and cost-efficiently.
Developer Advocate
Gain granular control over data locality, align with strict compliance standards, meet specific performance requirements, and more with Baseten Self-hosted.
Compound AI systems combine multiple models and processing steps, and are forming the next generation of AI products.
Easily package your ComfyUI workflow to use any custom node or model checkpoint.
Learn how async inference works, protects against common inference failures, is applied in common use cases, and more.
A Delightful Developer Experience for Building and Deploying Compound ML Inference Workflows
Learn about Baseten's new Chains framework for deploying complex ML inference workflows across compound AI systems using multiple models and components
Few-step image generation models like LCMs, SDXL Turbo, and SDXL Lightning can generate images fast, but there's a tradeoff when it comes to speed vs quality.
Latent Consistency Models (LCMs) improve on generative AI methods to produce high-quality images in just 2-4 steps, taking less than a second for inference.
