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LEPTON AI
Serverless GPU cloud platform for AI — deploy and scale models with Python-native simplicity
Apache-2.0
ABOUT
Provisioning, configuring, and managing GPU infrastructure for AI/ML workloads typically requires expertise in Kubernetes, CUDA driver management, and multi-cloud networking. Lepton AI eliminates this complexity by providing a serverless GPU cloud with a Python-native SDK and CLI, enabling developers to deploy models as API endpoints or run training jobs with a single command.
INSTALL
pip install -U leptonaiINTEGRATION GUIDE
1. Deploy open-source LLMs as OpenAI-compatible serverless API endpoints with auto-scaling GPU inference
2. Run distributed training jobs across multiple GPU instances without manual cluster management
3. Interactive model development and experimentation using GPU-backed dev pods with remote access
4. Fine-tune large language models with managed infrastructure and built-in Ray support
5. Process batch inference workloads for computer vision, NLP, or audio models at production scale
TAGS
serverless-gpuai-inferencellm-deploymentgpu-cloudmodel-servingdeep-learningpython-sdkdistributed-trainingmlops