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$0Free plan available.
Introduction:
Lightning AI is a comprehensive platform for AI development, designed to help users build models and full-stack AI applications efficiently. It offers zero-setup access to cloud GPUs, DevBoxes, training environments, and deployment tools. The platform supports the entire AI lifecycle—from prototyping to production—allowing users to collaborate, train, scale, and serve models directly from their browser.
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Lightning AI Product Information
What is Lightning AI?
Lightning AI is an all-in-one platform for AI development, offering tools to build models and full-stack AI applications quickly. It provides cloud GPUs, DevBoxes, training, deployment, and more with zero setup. From prototype to production AI, Lightning AI supports data platforms, training, GPU clusters, development, and deployment, enabling users to code together, prototype, train, scale, and serve AI models from their browser.
How to use Lightning AI?
Use Lightning AI by coding on cloud GPUs directly in your browser or via your preferred local IDE. Configure your environment on CPUs, execute tasks on GPUs, and utilize DevBoxes that maintain your workspace across sessions. You can start from a template, deploy no-code APIs, or edit full-code Studio templates in the browser with zero setup required.
Lightning AI's Core Features
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Cloud GPUs
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DevBoxes
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Training
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Deployment
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No-code APIs
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Full-code templates
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Data platform
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GPU Clusters
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Multi-cloud support (AWS, GCP, Azure soon)
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Enterprise RBAC
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CI/CD ready
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Real-time cost monitoring
Lightning AI Use Cases
#1
Building and deploying AI models
#2
Training large language models (LLMs)
#3
Developing AI-powered cloud applications
#4
Prototyping AI solutions
#5
Scaling AI models for production
#6
Collaborating on AI projects
#7
Running batch jobs and notebooks
#8
Hosting AI apps
FAQ from Lightning AI
What are Lightning Credits? +
Lightning Credits are used to pay for GPU hours or additional running Studios. Each credit is equivalent to $1 USD.
How do the 15 free credits per month work? +
Lightning AI provides 15 free credits every month. These credits expire if unused and can be applied toward running additional Studios or GPU hours.
When do free credits expire? +
Free credits expire at the end of each month, so be sure to use them.
When do purchased Lightning credits expire? +
Purchased credits expire after 12 months.
How do I use AWS/GCP credits? +
You must upgrade to the enterprise tier to utilize your AWS or GCP credits.
Which cloud providers does Lightning support? +
Lightning currently supports AWS and GCP, with Azure support planned for the future.
What do you mean by running 24/7? +
You can create an unlimited number of Studios. You may run one CPU-based Studio for free at any time. To run multiple Studios simultaneously, you must use your monthly free credits or purchase additional credits.
Lightning AI Pricing
Related Model Comparison Pages
Use these comparison pages to understand the trade-offs between the models most relevant to Lightning AI.
Compare Amazon Nova Pro and Amazon Nova Lite across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.
Compare Amazon Nova Lite and Amazon Nova Micro across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.
Compare Amazon Nova Lite and Mistral Medium 3 across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus tool-augmented workflows.
Compare Amazon Nova Lite and Mistral Small 3.1 (25.03) across pricing, context window, capabilities, benchmarks, and API access to choose the better fit for tool-augmented workflows versus cost-efficient scale.
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