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Lightning AI

★2.8
💬3
💲Freemium

Lightning AI simplifies AI development by providing a comprehensive platform with cloud GPUs, DevBoxes, training, and deployment tools. It supports no-code APIs and full-code templates, enabling users to build, train, and deploy AI models quickly and efficiently.

💻
Platform
web
AI HubAI StudiosAI development platformCloud computingDeep learningFull-code AIGPU

What is Lightning AI?

Lightning AI is an all-in-one platform designed for AI development, offering tools to build models and full-stack AI applications quickly. It supports the entire AI development lifecycle from prototyping to production, providing cloud GPUs, DevBoxes, training, deployment, and more with zero setup. Users can code together, prototype, train, scale, and serve AI models directly from their browser.

Core Technologies

  • AI Development Platform
  • Cloud Computing
  • GPU
  • Deep Learning
  • PyTorch Lightning
  • LLM
  • No-code AI
  • Full-code AI

Key Capabilities

  • Cloud GPUs
  • DevBoxes
  • Training
  • Deployment
  • No-code APIs
  • Full-code templates
  • Data platform
  • GPU Clusters
  • Multi-cloud support
  • Enterprise RBAC
  • CI/CD ready
  • Real-time cost monitoring

Use Cases

  • Building and deploying AI models
  • Training large language models (LLMs)
  • Developing AI-powered cloud applications
  • Prototyping AI solutions
  • Scaling AI models for production
  • Collaborating on AI projects
  • Running batch jobs and notebooks
  • Hosting AI apps

Core Benefits

  • All-in-one platform reduces complexity
  • Zero setup simplifies development
  • Cloud GPUs provide scalable compute
  • DevBoxes ensure consistent environments
  • Supports various deployment options
  • Offers enterprise-grade security and compliance
  • Provides real-time cost monitoring

Key Features

  • Cloud GPUs
  • DevBoxes
  • Training
  • Deployment
  • No-code APIs
  • Full-code templates
  • Data platform
  • GPU Clusters
  • Multi-cloud support (AWS, GCP, Azure soon)
  • Enterprise RBAC
  • CI/CD ready
  • Real-time cost monitoring

How to Use

  1. 1
    Code on cloud GPUs in the browser or local IDE
  2. 2
    Set up on CPUs, run on GPUs, and use DevBoxes
  3. 3
    Start from a template or deploy no-code APIs
  4. 4
    Edit full-code Studio templates from the browser
  5. 5
    Collaborate and scale AI models with zero setup

Pricing Plans

Free

$0
15 monthly Lightning credits included, 1 free active Studio, 4-hour restarts, Single GPU Studios (T4, L4, A10G, L40S), Up to 2 concurrent GPUs, Save ~80% with interruptible (spot), Unlimited background execution, 32 core CPU Studios, Connect any local IDE, or ssh, Persistent storage (50 GB limit), Multiplayer live collaboration, Use private and public models, Access optimized Studios, Automate with our SDK, Community support (via Discord)

Pro

$50 per month
Everything in Free, plus: 40 monthly Lightning credits included, 1 free active Studio, run 24/7, Multi-GPU Studios (T4, L4, A10G, L40S), Single GPU A100 and H100s, Up to 6 concurrent GPUs, 64 core CPU Studios, Persistent storage (200 GB limit), Connect public, private S3 buckets, Distributed data prep (up to 4 machines), Reserve machines for jobs, Community support (via Discord)

Teams

$140 per user, per month
Everything in Pro, plus: 50 monthly Lightning credits included, Full-node A100, H100, H200s, Multi-node training, Up to 12 concurrent GPUs, Use via AWS marketplace, 96 core CPU Studios, Persistent storage (2 TB limit), Real-time cost controls, Community support (via Discord)

Enterprise

Custom
Everything in Teams, plus: Full-node B200s, Priority GPU Access (Lightning Cloud), Unlimited concurrent GPUs, Use your cloud credits (AWS, GCP), Deploy in your own VPC, Unlimited multi-node training, Role-based access controls, Enterprise AI Hub add-on, SOC 2 (type 2) compliance, SAML/SSO, Custom resource tagging, Bring your own images, 99.95% uptime SLA, Dedicated Slack support channel, Dedicated machine learning engineer

Frequently Asked Questions

Q.What are Lightning Credits?

A.Lightning Credits can be used towards GPU hours or additional running Studios. 1 credit = $1 USD.

Q.How do the 15 free credits per month work?

A.Every month, Lightning AI gives you 15 free Lightning credits. If you don't use them, they expire. Use the credits to run additional Studios or for GPU hours.

Q.When do free credits expire?

A.Free credits expire every month. Make sure to use them up!

Q.When do purchased Lightning credits expire?

A.After 12 months.

Q.How do I use AWS/GCP credits?

A.Upgrade to the enterprise tier to use your AWS/GCP credits.

Pros & Cons (Reserved)

✓ Pros

  • All-in-one platform reduces complexity
  • Zero setup simplifies development
  • Cloud GPUs provide scalable compute
  • DevBoxes ensure consistent environments
  • Supports various deployment options
  • Offers enterprise-grade security and compliance (SOC2, HIPAA)
  • Provides real-time cost monitoring

✗ Cons

  • Pricing can be complex depending on usage
  • Free tier has limitations on GPU hours and Studio restarts
  • Some features are only available in higher tiers
  • Potential vendor lock-in

Alternatives

No alternatives found.