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Lightning AI Studios

What Lightning AI Studios is
Lightning AI Studios is a cloud workspace for working on AI and machine-learning projects with GPU resources. It supports model training and inference, building agents and AI apps, and collaborative coding. Studios run in a full-stack environment and support full-stack deployment; projects can be private, and users can collaborate in real time. The web experience includes browser-accessible VS Code and JupyterLab, plus AI copilots for AI and machine-learning tasks such as debugging CUDA and PyTorch. Each Studio saves its working environment, including packages, Python versions, and downloaded files, so that setup persists. Users can connect local IDEs such as VS Code, Cursor, and PyCharm over SSH, and automate Studio workflows with Lightning’s SDK. The documentation describes connecting S3 buckets and EFS volumes through Lightning Drive and importing models from Hugging Face and GitHub. Lightning AI Studios is available on web and through an API. The Free plan includes one active Studio, 50 GB of persistent storage, and up to two concurrent GPUs; that Studio requires a restart every four hours. Paid plan details include Pro from $20 a month billed annually, and Teams from $119 a month billed annually per user. Enterprise supports deployment in a customer VPC using AWS or GCP cloud credits.
Who it suits
The Free plan is described for students, researchers, and hobbyists who want a persistent GPU workspace for AI projects. Pro is positioned for developers, researchers, and scientists, while Teams is aimed at research labs and small teams that need more storage or concurrent GPUs.
What it does well
- Includes browser-accessible VS Code and JupyterLab.
- Saves installed packages, Python versions, and downloaded files.
- Supports real-time collaboration and private projects.
- Connects local IDEs over SSH and supports workflow automation.
- Offers up to 12 concurrent GPUs on listed Teams plans.
What to know first
- The Free active Studio requires a restart every four hours.
- Pro and Teams annual plans are listed with storage limits.
- The listed paid monthly prices are 50.00 USD for Pro and $140 per user for Teams.
Limits
The Free plan includes one active Studio, 50 GB of persistent storage, and up to two concurrent GPUs; its active Studio must be restarted every four hours. Pro (annual) is listed at $20 a month billed annually with one active Studio, 200 GB of storage, and no restarts; Teams (annual) is $119 a month billed annually per user with a 2 TB storage limit and up to 12 concurrent GPUs.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Free | 1 Studio free 24/7 · restart every 4 hours · 80 free GPU hours to start · pay-as-you-go credits | Free |
| Teams (annual) | annually, per user · 600 annual credits · Up to 12 concurrent GPUs · 2 TB storage limit | $119 a month |
| Teams | billed annually, per user · 600 annual credits · 1 active Studio · 96-core CPU · full-node A100/H100/H200 · 12 concurrent GPUs · 2 TB storage | $119 a month |
| Teams (monthly) | monthly, per user · 600 annual credits · Up to 12 concurrent GPUs · 2 TB storage limit | $140 a month |
| Pro (annual) | annually · 240 annual credits · 1 active Studio with no restarts · 200 GB storage limit | $20 a month |
| Pro | billed annually · 240 annual credits · 1 active Studio · 64-core CPU · multi-GPU T4/L4/L40S · 6 concurrent GPUs · 200 GB storage | $20 a month |
| Pro (monthly) | monthly · 240 annual credits · 1 active Studio with no restarts · 200 GB storage limit | $50 a month |
| Enterprise | custom · Bring your AWS/GCP credits · own VPC · unlimited multi-node and concurrent GPUs · 99.95% uptime SLA · SOC 2 · SAML/SSO · RBAC · dedicated support | On request |
As lightning.ai lists them, read 15 Oct 2026. The maker's own page has the final word.
Getting started
- Open https://lightning.ai/studio.
- Choose the Free plan or review the Pro, Teams, and Enterprise options.
- Use the web workspace or connect through the API.
- Open VS Code or JupyterLab in a Studio, or connect a local IDE over SSH.
- Import models from Hugging Face or GitHub, or connect S3 and EFS through Lightning Drive.
Verdict
Choose Lightning AI Studios if you want a persistent GPU workspace with browser coding tools, collaboration, and deployment support. The Free plan gives a way to start, though the four-hour restart requirement may not suit uninterrupted work. Teams or Enterprise may fit larger workloads, with Teams offering higher GPU and storage allowances and Enterprise supporting deployment in your own VPC.
Questions
Is there a free plan?
Yes. The Free plan is listed as free and includes one active Studio, 50 GB persistent storage, and up to two concurrent GPUs.
Does Lightning AI Studios offer a free trial?
Yes, a free trial is listed.
Which platforms does it support?
The listed platforms are web and API.
What does the free plan limit?
The free plan has one active Studio, 50 GB persistent storage, and up to two concurrent GPUs. The active Studio requires a restart every four hours.
What do the listed Pro and Teams plans cost?
Pro is $20 a month billed annually or $50 a month billed monthly. Teams is $119 a month billed annually per user or $140 a month billed monthly per user.
Can Enterprise run in a private cloud?
Enterprise customers can deploy Lightning Studios in their own VPC and use AWS or GCP cloud credits.
Facts from Lightning AI Studios's own pages
- AI copilot
- Each Studio includes AI copilots aimed at ML development, CUDA debugging, training and inference tasks. · lightning.ai, 15 Oct 2026
- AI copilots
- Studios include AI copilots trained to help with AI and machine-learning work, including debugging CUDA and PyTorch. · lightning.ai, 5 Oct 2026
- API authentication
- Python and CLI users authenticate with lightning login or LIGHTNING_API_KEY; TypeScript sandboxes use an API key. · github.com, 15 Oct 2026
- Automation
- Lightning provides an SDK for automating Studio workflows. · lightning.ai, 5 Oct 2026
- Bring your own cloud
- Organizations can connect AWS or GCP accounts so workloads and data stay in their VPC while using Lightning’s Studio, Job and Deployment interfaces. · lightning.ai, 15 Oct 2026
- Browser tools
- Studios include browser-accessible VS Code and JupyterLab. · lightning.ai, 5 Oct 2026
- Browser workspace
- Studios launch from studio.lightning.ai and provide browser-accessible VS Code and JupyterLab. · lightning.ai, 15 Oct 2026
- Company description
- LinkedIn describes AI Studio as a browser cloud laptop with persistent environments, GPU training, multi-node scaling, sweeps and jobs. · linkedin.com, 15 Oct 2026
- Company headquarters and size
- LinkedIn lists Lightning AI as privately held, headquartered in New York, with 51–200 employees. · linkedin.com, 15 Oct 2026
- Data integrations
- Data connections support AWS S3, Google Cloud Storage, Cloudflare R2, AWS EFS and Snowflake. · lightning.ai, 15 Oct 2026
- Deployment options
- full_stack · lightning.ai, 23 Sept 2026
- Documentation depth
- Documentation includes platform guides, CLI references, SDK references, AI Studio tutorials, deployment, cluster and organization material. · lightning.ai, 15 Oct 2026
- Enterprise diligence
- The company offers an enterprise security guide, HIPAA and SOC 2 reports, ISO certifications and penetration-test confirmation through its diligence package. · lightning.ai, 15 Oct 2026
- Founded
- Lightning AI says founder William Falcon started the company in 2019 with Luis Capelo when it was called Grid.ai. · lightning.ai, 15 Oct 2026
- Free plan
- Yes · lightning.ai, 23 Sept 2026
- Free tier limit
- The pricing page says the free active Studio requires a restart every four hours; Pro and higher have no such restriction. · lightning.ai, 5 Oct 2026
- Full-stack runtime
- Yes · lightning.ai, 23 Sept 2026
- Funding news
- On June 27, 2022, Lightning AI announced a $40 million Series B led by Coatue with Index Ventures participating. · lightning.ai, 15 Oct 2026
- GPU catalog
- Published machines include T4, L4, L40S, RTX 6000, A100, H100 and H200 GPUs with listed VRAM and hourly rates. · lightning.ai, 15 Oct 2026
- Integrations
- The Studio documentation describes connecting S3 buckets and EFS volumes through Lightning Drive and importing models from Hugging Face and GitHub. · lightning.ai, 5 Oct 2026
- Intended users
- The pricing page describes Free for students, researchers, and hobbyists; Pro for developers, researchers, and scientists; and Teams for research labs and small teams. · lightning.ai, 5 Oct 2026
- Limit: account access and billing complaints
- Trustpilot reviews include complaints about unexpected $500 charges, delayed verification, phone-number requirements and login failures. · trustpilot.com, 15 Oct 2026
- Limit: browser performance
- That Trustpilot reviewer reported lag in Firefox and said Chrome is preferred. · trustpilot.com, 15 Oct 2026
- Limit: free-tier storage
- A G2 reviewer said the free tier has limited storage. · g2.com, 15 Oct 2026
Where Lightning AI Studios stands on Freedom251
- Coding Playgrounds#13 of 138
- Deep Learning Software#11 of 35