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 experienced a 13.2% decline in traffic, with 379,969 visits. Despite the launch of its new AI Hub and the integration of DeepSeek R1 for secure enterprise cloud deployments, the decline might be attributed to increased market competition and the lack of direct product updates that significantly enhance user experience.
View history traffic
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