Runhouse

Runhouse is the fastest way to build, run, and deploy production-grade AI applications and workflows on your own compute. It enables the entire lifecycle of AI development—from research, evaluation, production, updates, scaling, management, and across any infrastructure—through a simple yet powerful API. By automatically packaging your applications into scalable, secure, and observable services, Runhouse transforms otherwise redundant AI activities into reusable components for entire teams or companies, improving cost efficiency, speed, and reproducibility. Highlights: - **Instant Dispatch**: Send Python functions, classes, and data to remote infrastructure (clusters, cloud VMs, etc.) with ease. No need for workflow orchestrators to run different code blocks across powerful machines. - **Production-Ready Deployment**: Turn Python functions or classes into production-quality services instantly, complete with HTTPS, authentication, observability, scaling, custom domains, secrets, versioning, and more. No gap between research and production. - **No DSLs, Decorators, YAML, CLI Commands, or Boilerplate**: Just your own Python. - **Broad Infrastructure Support**: Works with Ray, Kubernetes, AWS, GCP, Azure, on-prem, local machines, and more. When it’s time to move or scale, simply send your application to more powerful infrastructure. - **Exceptional Reusability & Portability**: A single, clean script encapsulates your application, dependencies, and infrastructure. - **Nest Applications Freely**: Build complex workflows and services by nesting applications. Components are decoupled, so you can modify, move, or scale any part without disrupting the rest of the system.

Runhouse helps users quickly build, run, and deploy production-grade AI applications and workflows on their own computing infrastructure. It covers the entire AI development process via a simple API, packaging AI activities into scalable, secure, observable, and reusable components for cost efficiency, speed, and reproducibility.