Lightning AI
What does it do?
- Machine Learning Model Development
- Machine Learning Model Deployment
- Generative AI
- AI Web App Hosting
- Collaborative AI Development
How is it used?
- Use web app to code
- train
- and deploy AI models with GPU.
- 1. Set up Studio w/ GPU
- 2. Code in browser or IDE
Who is it good for?
- AI Researchers
- Machine Learning Engineers
- Data Scientists
- AI Developers
- Collaborative AI Teams
What does it cost?
- Pricing model : Subscription
- Free version : Yes
- Starting monthly price : If billed monthly $50.00
- Starting annual price : If billed yearly $42.50
Details & Features
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Made By
Lightning AI -
Released On
2019-05-16
Lightning AI is a cloud-based platform that simplifies the development and deployment of machine learning models, with a focus on generative artificial intelligence. It provides users with a persistent GPU environment, allowing them to develop, train, and deploy AI models efficiently, whether they are novice or experienced developers.
Key features:
- Persistent GPU Cloud Environment: Allows users to set up their environment once and reuse it anytime, ensuring workflow continuity and efficiency.
- Free Resources: Offers 1 free active Studio and 22 GPU hours monthly, enabling users to start without immediate costs.
- Coding Flexibility: Supports coding directly from the browser or local Integrated Development Environment (IDE), providing workflow options.
- Environment Persistence: Retains files, data, and environment settings, allowing users to resume work seamlessly.
- AI Web App Hosting: Enables hosting of AI web applications directly on the platform for easy sharing and deployment.
- Checkpoint Sharing: Facilitates sharing of model checkpoints for collaboration and version control.
- GPU Switching: Allows users to switch to GPUs as needed for intensive computational tasks.
How it works:
1. Users set up their first Studio, a persistent cloud environment with GPU capabilities.
2. Code and development can be done in the browser or through a local IDE.
3. Models are trained using the provided GPU resources and can be deployed as web applications.
4. Users can share model checkpoints and collaborate with others using integrated tools.
Use of AI:
Lightning AI leverages generative artificial intelligence by providing the necessary computational resources and tools to develop and deploy generative models.
AI foundation model:
The platform is designed to accommodate a wide range of generative AI applications, though specific AI foundation models or large language models (LLMs) supported are not detailed.
Target users:
- AI researchers
- Data scientists
- Machine learning engineers
- Developers requiring robust computational resources and a collaborative environment
How to access:
Lightning AI is available as a web app, accessible from any device with internet connectivity.
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Supported ecosystemsUnknown, Google, GitHub
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What does it do?Machine Learning Model Development, Machine Learning Model Deployment, Generative AI, AI Web App Hosting, Collaborative AI Development
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Who is it good for?AI Researchers, Machine Learning Engineers, Data Scientists, AI Developers, Collaborative AI Teams
PRICING
Visit site| Pricing model: Subscription |
| Free version: Yes |
| Starting monthly price: If billed monthly $50.00 |
| Starting annual price: If billed yearly $42.50 |