Lightning AI Howto
Lightning AI is an all-in-one platform for AI development that enables coding, prototyping, training, scaling, and serving AI models from a browser with zero setup.
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Sign up for a free account: Create a free account at lightning.ai/sign-up. Use an official company or .edu email for instant verification.
Access Lightning AI Studio: Once logged in, you'll have access to the Lightning AI Studio cloud IDE environment.
Create a new Studio: Click to create a new Studio workspace. This gives you a persistent development environment in the cloud.
Choose compute resources: Select the CPU/GPU configuration you want for your Studio. You get 22 free GPU hours per month.
Start coding: Use the built-in code editor or connect your local IDE. The environment comes pre-configured with popular ML libraries.
Upload data: Upload your datasets to the Studio's persistent storage or connect to cloud storage like S3.
Train models: Leverage the GPU resources to train your ML models. You can easily scale to multiple GPUs.
Deploy apps: Use built-in tools like Streamlit or Gradio to create interactive AI web apps and demos.
Collaborate: Invite team members to your Studio to code together in real-time.
Scale up: Use the Lightning AI SDK to create custom workflows and scale to thousands of GPUs if needed.
Lightning AI FAQs
Lightning AI is an all-in-one platform for AI development that allows users to code, prototype, train, and deploy AI models and applications. It was created by the team behind PyTorch Lightning and provides a cloud-based environment for machine learning projects.
Lightning AI Monthly Traffic Trends
Lightning AI achieved 569.7K visits with a 15.0% growth in February. The launch of Lightning AI Hub and the availability of DeepSeek-R1 for private enterprise deployments likely contributed to this growth. The platform's no-code APIs and secure deployment options are significant enhancements for enterprise users.
View history traffic
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