Models Agents Infrastructure Pricing Docs Blog Security

Models Agents Infrastructure Pricing Docs Blog Security

Python SDK

Platform

Lightning AIDevelop, train and deploy on Lightning AI Python SDKProgrammatic access to the Lightning AI platform CLIAccess the Lightning AI platform from the command line

Open Source Libraries

PyTorch LightningFinetune and pretrain AI models. Focus on science, not engineering.Lightning FabricScale foundation models to 1000s of GPUs with expert-level control TorchMetrics90+ PyTorch metrics, optimized for distributed training ThunderCompiler for PyTorch: Make PyTorch models faster!LitLoggerExperiment tracking built into Lightning AI LitDataStream and process datasets at scale LitServeEasily serve AI models — Lightning fast LitAILLM router and minimal agent framework in one LitGPT20+ high-performance LLMs with recipes to pretrain, finetune and deploy at scale.

Stable (2026.11.04)

Home Installation Quickstart

Studios SDK tutorial Jobs SDK tutorial MMT SDK tutorial Teamspaces SDK tutorial Sandboxes SDK tutorial Studios CLI examples Jobs CLI examples MMT CLI examples Teamspaces CLI examples Sandboxes CLI examples Logs CLI examples Raw API CLI examples

Studio Job Machine Teamspace Multi-Machine Training Deployment Agent K8s Cluster Owner Organization User Status Models Experiment

Docs/Stable (2026.11.04)/API Reference/Status

Status

class lightning_sdk.Status(*values)

Bases: Enum

Enum holding all possible studio status types.

Completed = 'Completed'

Failed = 'Failed'

NotCreated = 'NotCreated'

Pending = 'Pending'

Running = 'Running'

Stopped = 'Stopped'

Stopping = 'Stopping'

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