Lepton

Deploy popular pre-trained AI models (LLMs, vision models, embeddings) without manual model serving setup or containerization. Models are available from a built-in model zoo and can be instantiated with minimal configuration.

Convert local Python scripts and functions into production-ready API endpoints using decorator-based syntax. Handles serialization, scaling, and request routing automatically.

Start with small-scale deployments on the free tier and scale up later without architectural changes. Enables growth without rearchitecting the application.

Host and scale AI inference workloads on serverless infrastructure without managing servers, containers, or scaling policies. Automatically handles request routing and resource allocation.

Access a genuinely free tier for developing and testing AI applications at small scale. Enables cost-free iteration and experimentation without credit card requirements or hidden charges.

Use the Photon abstraction layer to define AI workloads in a cloud-agnostic way, reducing vendor lock-in and enabling portability across different deployment environments.

Deploy AI models from concept to production API in minutes without intermediate steps like containerization, configuration files, or infrastructure provisioning.

Browse and deploy from a curated collection of popular pre-trained models covering language models, vision models, and embeddings without searching external sources or managing model files.

Deploy AI applications with minimal configuration files or setup steps. Sensible defaults and automatic detection reduce the need for manual tuning.

Automatically generate HTTP API endpoints from AI models or Python functions with built-in request/response handling, serialization, and documentation.

Deploy AI applications directly to production without intermediate staging or manual reliability configurations. Handles scaling, monitoring, and availability automatically.