Lightning AI

Comprehensive AI development platform from initial prototyping to full-scale deployment.

AI Developer Tools Large Language Models (LLMs)AI API AI Models AI Text Generator No-Code&Low-Code Open Source AI Models

About Lightning AI

Lightning AI offers an all-encompassing platform for AI development, enabling rapid model building and deployment. With cloud GPU access, DevBoxes, and integrated tools, users can prototype, train, and scale AI models seamlessly. The platform supports collaborative coding, automated workflows, and deployment from anywhere, streamlining the entire AI lifecycle from concept to production.

How to Use

Develop AI models using Lightning AI via browser-based coding with cloud GPUs or your local IDE. Easily set up environments on CPUs or GPUs, utilize persistent DevBoxes, and deploy models with no-code APIs or full-code templates—all without setup complexity.

Features

Role-Based Access Control (RBAC)

No-code API creation

One-click deployment

Pre-built full-code templates

Scalable GPU clusters

Real-time cost tracking

Persistent DevBoxes

Access to cloud GPU resources

Model training and tuning

Integrated data management platform

CI/CD pipeline readiness

Support for multiple cloud providers (AWS, GCP, Azure coming soon)

Use Cases

Scaling AI models for production environments

Collaborative AI project development

Hosting and managing AI applications

Rapid prototyping of AI solutions

Developing and deploying AI models efficiently

Executing batch processing and notebooks

Building AI-powered cloud applications

Training large language models (LLMs)

Best For

Large enterprisesAI research teamsMachine learning engineersAI startupsData scientistsAI development teamsResearch institutionsAI product managers

Pros

Provides real-time cost monitoring for resource management

Ensures enterprise-grade security and compliance including SOC2 and HIPAA

Scalable cloud GPU resources for intensive workloads

Zero-setup environment simplifies AI development

Supports flexible deployment options for various needs

All-in-one platform reduces operational complexity

DevBoxes guarantee consistent development environments

Cons

Pricing can become complex based on usage patterns

Potential vendor lock-in with specific cloud integrations

Free tier limits GPU usage hours and Studio restarts

Advanced features may require higher-tier subscriptions

Pricing Plans

Choose the perfect plan for your needs. All plans include 24/7 support and regular updates.

Free

Includes 15 monthly Lightning credits, one free active Studio, 4-hour restarts, access to single-GPU Studios (T4, L4, A10G, L40S), up to 2 concurrent GPUs, and unlimited background runs. Features persistent storage (50 GB), multiplayer collaboration, private/public models, SDK automation, and community support via Discord.

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Pro

$50 per month

All Free features plus 40 monthly Lightning credits, the ability to run Studios 24/7, multi-GPU Studios (T4, L4, A10G, L40S), access to A100 and H100 GPUs, up to 6 concurrent GPUs, 64-core CPU Studios, 200 GB storage, support for S3 buckets, distributed data prep, and job reservation. Includes community support via Discord.

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Teams

$140 per user per month

Includes all Pro features plus 50 monthly Lightning credits, full-node A100, H100, and H200 GPUs, multi-node training, up to 12 concurrent GPUs, AWS marketplace access, 96-core CPU Studios, 2 TB storage, real-time cost controls, and community support.

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Enterprise

Custom pricing

Complete enterprise solution with full-node B200 GPUs, priority GPU access, unlimited concurrent GPUs, cloud credit integration (AWS, GCP), deployment in private VPCs, unlimited multi-node training, role-based access controls, enterprise AI Hub, SOC 2 compliance, SAML/SSO, custom resource tagging, custom images, 99.95% uptime SLA, dedicated support channels, and dedicated machine learning engineers.

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Frequently Asked Questions

Find answers to common questions about Lightning AI

What are Lightning Credits and how are they used?

Lightning Credits are tokens used to pay for GPU hours or additional Studio sessions. Each credit equals one US dollar.

How do the 15 free monthly credits work?

Lightning AI grants you 15 free credits each month to run Studios and use GPU hours. Unused credits expire monthly.

When do free credits expire?

Free credits reset each month and must be used within that period to avoid expiration.

What is the validity period for purchased credits?

Purchased credits remain valid for 12 months from the purchase date.

How can I utilize my AWS or GCP credits on Lightning AI?

Upgrade to the enterprise plan to connect and use your existing cloud credits from AWS or GCP.

Which cloud providers does Lightning AI support?

Currently, Lightning AI supports AWS and GCP. Support for Azure is planned soon.

Can I run AI models continuously?

Yes, you can create unlimited Studios. Free users can run one CPU Studio continuously; additional Studios require credits or upgrades.

Is there support for multi-node training?

Yes, enterprise and team plans include multi-node training capabilities for large-scale models.

What deployment options are available?

Lightning AI supports cloud deployment, private VPCs, and on-premises environments, depending on the plan.