Lightning AI — Best Writing & Editing AI Tool (April 2026)

About Lightning AI

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.

Top 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

Built for

AI developersMachine learning engineersData scientistsResearchersStartupsEnterprises

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

Pros & cons

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

Pricing

Free

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 s…

Pro

$50/ 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 bucke…

Teams

$140/ user

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

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) complian…

Frequently asked questions

What are Lightning Credits?

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

How do the 15 free credits per month work?

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.

When do free credits expire?

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

When do purchased Lightning credits expire?

After 12 months.

How do I use AWS/GCP credits?

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

Which cloud providers does Lightning support?

Currently AWS and GCP. Azure support is coming soon.

What do you mean by running 24/7?

You can create unlimited Studios. At any one time, you can run one (CPU) Studio for free. If you want to run more at the same time, you must use your free credits or buy more credits.

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