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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

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
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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

  • Made By

    Lightning AI
  • Released On

    2019-05-16

Lightning AI simplifies the development and deployment of machine learning models, particularly focusing on generative artificial intelligence. The platform offers a comprehensive suite of tools and features that cater to both novice and experienced AI developers.

Key Features
- Persistent GPU cloud environment: Set up the environment once and reuse it anytime, ensuring continuity and efficiency in the workflow.
- Free resources: 1 free active Studio and 22 GPU hours monthly, making it accessible for users to get started without immediate costs.
- Coding flexibility: Code directly from the browser or a local Integrated Development Environment (IDE).
- Environment persistence: Studio remembers files, data, and the environment, allowing users to resume work without reconfiguration.
- AI web app hosting: Host AI web applications directly on the platform, facilitating easy sharing and deployment of models.
- Checkpoint sharing: Share model checkpoints for collaboration and version control.
- GPU switching: Switch to GPUs as needed, optimizing computational resources for intensive tasks.

How It Works
1. Set up the first Studio, a persistent cloud environment with GPU capabilities.
2. Write and test code either in the browser or through a local IDE. The environment retains all files and data.
3. Train models using the provided GPU resources and deploy them as web applications.
4. Share model checkpoints and collaborate with others using the platform's integrated tools.

Integrations
Lightning AI supports integrations with various tools and platforms to enhance functionality, although specific names are not detailed.

Generative AI and Foundation Models
The platform provides the necessary computational resources and tools to develop and deploy generative models, accommodating a wide range of generative AI applications.

Availability
- Software types: Web app, accessible from any device with internet connectivity.
- User types: Suitable for AI researchers, data scientists, machine learning engineers, and developers who need robust computational resources and a collaborative environment.

Lightning AI is a versatile and powerful platform for developing and deploying machine learning models, with a strong emphasis on generative AI. It offers a persistent cloud environment with GPU capabilities, making it an excellent choice for both individual developers and collaborative teams.

  • Supported ecosystems
    Unknown, Google, GitHub
  • What does it do?
    Machine Learning Model Development, Machine Learning Model Deployment, Generative AI, AI Web App Hosting, Collaborative AI Development
  • Who is it good for?
    AI Researchers, Machine Learning Engineers, Data Scientists, AI Developers, Collaborative AI Teams

PRICING

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Pricing model: Subscription
Free version: Yes
Starting monthly price: If billed monthly $50.00
Starting annual price: If billed yearly $42.50

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