- Home
- Coding Playgrounds
- Lightning AI Studios
Lightning AI Studios
What it is
Lightning AI Studios is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. Studios provide browser-accessible VS Code and JupyterLab, plus AI copilots for AI and machine-learning work, including CUDA and PyTorch debugging. They save installed packages, custom Python versions, and downloaded files as part of the environment. Users can connect S3 buckets and EFS volumes through Lightning Drive, import models from Hugging Face and GitHub, or connect local IDEs such as VS Code, Cursor, and PyCharm over SSH. An SDK is available to automate Studio workflows. The service supports real-time collaboration, private projects, and full-stack runtime and deployment. The free plan is free and includes one active Studio, 50 GB persistent storage, and up to two concurrent GPUs; the free active Studio must be restarted every four hours. Pro annual pricing is $20 a month, billed annually. Lightning says it is SOC 2 compliant for AWS and GCP clouds in all regions.
For and against
For
- Includes browser-accessible VS Code and JupyterLab.
- Saves packages, Python versions, and downloaded files.
- Supports real-time collaboration and private projects.
- Free plan includes up to two concurrent GPUs.
Against
- Free active Studio requires a restart every four hours.
- Free plan includes one active Studio.
The verdict
Studios combine persistent GPU workspaces with collaboration and model-development tools. The free tier has a four-hour restart requirement; Pro removes that restriction and its annual price is listed at $20 a month.
Who it suits
The free plan is described for students, researchers, and hobbyists. Pro is aimed at developers, researchers, and scientists, while Teams is described for research labs and small teams.
Plans and prices
Free
1 Studio free 24/7 · restart every 4 hours · 80 free GPU hours to start · pay-as-you-go credits
Read 15 Oct 2026 · lightning.ai
Pro
240 annual credits · 1 active Studio · 64-core CPU · multi-GPU T4/L4/L40S
Read 15 Oct 2026 · lightning.ai
Teams
600 annual credits · 1 active Studio · 96-core CPU · full-node A100/H100/H200
Read 15 Oct 2026 · lightning.ai
Pro (annual)
240 annual credits · 1 active Studio with no restarts · 200 GB storage limit
Read 5 Oct 2026 · lightning.ai
Pro (monthly)
240 annual credits · 1 active Studio with no restarts · 200 GB storage limit
Read 5 Oct 2026 · lightning.ai
Teams (annual)
600 annual credits · Up to 12 concurrent GPUs · 2 TB storage limit
Read 5 Oct 2026 · lightning.ai
Teams (monthly)
600 annual credits · Up to 12 concurrent GPUs · 2 TB storage limit
Read 5 Oct 2026 · lightning.ai
Enterprise
Bring your AWS/GCP credits · own VPC · unlimited multi-node and concurrent GPUs · 99.95% uptime SLA
Read 15 Oct 2026 · lightning.ai
On the record
- AI copilot
- Each Studio includes AI copilots aimed at ML development, CUDA debugging, training and inference tasks.lightning.ai · read 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 · read 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 · read 15 Oct 2026
- Automation
- Lightning provides an SDK for automating Studio workflows.lightning.ai · read 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 · read 15 Oct 2026
- Browser tools
- Studios include browser-accessible VS Code and JupyterLab.lightning.ai · read 5 Oct 2026
- Browser workspace
- Studios launch from studio.lightning.ai and provide browser-accessible VS Code and JupyterLab.lightning.ai · read 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 · read 15 Oct 2026
- Company headquarters and size
- LinkedIn lists Lightning AI as privately held, headquartered in New York, with 51–200 employees.linkedin.com · read 15 Oct 2026
- Data integrations
- Data connections support AWS S3, Google Cloud Storage, Cloudflare R2, AWS EFS and Snowflake.lightning.ai · read 15 Oct 2026
- Deployment options
- full_stacklightning.ai · read 23 Sep 2026
- Documentation depth
- Documentation includes platform guides, CLI references, SDK references, AI Studio tutorials, deployment, cluster and organization material.lightning.ai · read 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 · read 15 Oct 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 · read 5 Oct 2026
- Full-stack runtime
- Yeslightning.ai · read 23 Sep 2026
- Funding news
- On June 27, 2022, Lightning AI announced a $40 million Series B led by Coatue with Index Ventures participating.lightning.ai · read 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 · read 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 · read 5 Oct 2026
