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Lightning AI
Overview :
Lightning AI is a platform based on PyTorch that allows users to easily train and deploy AI models between local machines and cloud environments. It supports the construction of various popular AI models such as large language models, Transformers, and Stable Diffusion. Key features include support for distributed multi-GPU training, built-in MLOps capabilities, and serverless cloud deployment. It is suitable for AI research teams, companies aiming to rapidly develop AI products, and institutions that have GPU resources.
Target Users :
["AI Research Team","Companies in need of building product-level AI applications","Institutions with GPU Resources"]
Use Cases
Users can train language models using PyTorch Lightning on their own data
Lightning AI enables users to build private AI training and deployment environments on public clouds like AWS, GCP
Developers can use Lightning AI to quickly build Stable Diffusion applications
Features
Supports training of various models, including large language models, Transformers, and Stable Diffusion
Supports distributed training on multi-GPU and multi-node environments
Provides serverless cloud training and deployment support
Features built-in MLOps functionality
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