Lightning AI Studios
lightning.ai
What it is
Lightning AI Studios is a cloud workspace for training models, running inference, building agents and AI apps, and coding collaboratively. Its persistent environments save installed packages, custom Python versions, and downloaded files. Studios offer browser-accessible VS Code and JupyterLab, plus AI copilots for AI and machine-learning work, including CUDA and PyTorch debugging. Teams can collaborate in real time on private projects, use a full-stack runtime, and deploy full-stack applications. 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 supports workflow automation. The Free plan is free and includes one active Studio, 50 GB persistent storage, and up to two concurrent GPUs; that Studio requires a restart every four hours. Pro and Teams plans have higher storage and GPU limits. Enterprise offers deployment in a customer VPC using AWS or GCP cloud credits.
Spec sheet
- What it does
- AI Studio is a persistent collaborative GPU workspace for training, inference, coding, agents and AI applications.Read 15 Oct 2026 · lightning.ai
- Purpose
- AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together.Read 5 Oct 2026 · lightning.ai
- 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.Read 5 Oct 2026 · lightning.ai
- Free plan
- YesRead 23 Sep 2026 · lightning.ai
- Integrations
- The Studio documentation describes connecting S3 buckets and EFS volumes through Lightning Drive and importing models from Hugging Face and GitHub.Read 5 Oct 2026 · lightning.ai
- Security
- Lightning says it is SOC 2 compliant for AWS and GCP clouds in all regions.Read 5 Oct 2026 · lightning.ai
- Support
- Lightning lists email, Discord, and Twitter as support channels, and a dedicated Slack channel for enterprise support.Read 5 Oct 2026 · lightning.ai
- Founded
- Lightning AI says founder William Falcon started the company in 2019 with Luis Capelo when it was called Grid.ai.Read 15 Oct 2026 · lightning.ai
- AI copilot
- Each Studio includes AI copilots aimed at ML development, CUDA debugging, training and inference tasks.Read 15 Oct 2026 · lightning.ai
- AI copilots
- Studios include AI copilots trained to help with AI and machine-learning work, including debugging CUDA and PyTorch.Read 5 Oct 2026 · lightning.ai
- API authentication
- Python and CLI users authenticate with lightning login or LIGHTNING_API_KEY; TypeScript sandboxes use an API key.Read 15 Oct 2026 · github.com
- Automation
- Lightning provides an SDK for automating Studio workflows.Read 5 Oct 2026 · lightning.ai
- 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.Read 15 Oct 2026 · lightning.ai
- Browser tools
- Studios include browser-accessible VS Code and JupyterLab.Read 5 Oct 2026 · lightning.ai
- Browser workspace
- Studios launch from studio.lightning.ai and provide browser-accessible VS Code and JupyterLab.Read 15 Oct 2026 · lightning.ai
- Company description
- LinkedIn describes AI Studio as a browser cloud laptop with persistent environments, GPU training, multi-node scaling, sweeps and jobs.Read 15 Oct 2026 · linkedin.com
- Company headquarters and size
- LinkedIn lists Lightning AI as privately held, headquartered in New York, with 51–200 employees.Read 15 Oct 2026 · linkedin.com
- Data integrations
- Data connections support AWS S3, Google Cloud Storage, Cloudflare R2, AWS EFS and Snowflake.Read 15 Oct 2026 · lightning.ai
- Deployment options
- full_stackRead 23 Sep 2026 · lightning.ai
- Documentation depth
- Documentation includes platform guides, CLI references, SDK references, AI Studio tutorials, deployment, cluster and organization material.Read 15 Oct 2026 · lightning.ai
- Enterprise diligence
- The company offers an enterprise security guide, HIPAA and SOC 2 reports, ISO certifications and penetration-test confirmation through its diligence package.Read 15 Oct 2026 · lightning.ai
- Free tier limit
- The pricing page says the free active Studio requires a restart every four hours; Pro and higher have no such restriction.Read 5 Oct 2026 · lightning.ai
- Full-stack runtime
- YesRead 23 Sep 2026 · lightning.ai
- Funding news
- On June 27, 2022, Lightning AI announced a $40 million Series B led by Coatue with Index Ventures participating.Read 15 Oct 2026 · lightning.ai
- GPU catalog
- Published machines include T4, L4, L40S, RTX 6000, A100, H100 and H200 GPUs with listed VRAM and hourly rates.Read 15 Oct 2026 · lightning.ai
- Limit: account access and billing complaints
- Trustpilot reviews include complaints about unexpected $500 charges, delayed verification, phone-number requirements and login failures.Read 15 Oct 2026 · trustpilot.com
- Limit: browser performance
- That Trustpilot reviewer reported lag in Firefox and said Chrome is preferred.Read 15 Oct 2026 · trustpilot.com
- Limit: free-tier storage
- A G2 reviewer said the free tier has limited storage.Read 15 Oct 2026 · g2.com
- Limit: support and stability
- A G2 reviewer reported four-day support responses and crashes during long training runs.Read 15 Oct 2026 · g2.com
- Live collaboration
- Users can share Studios and collaborate in a shared coding workspace.Read 15 Oct 2026 · lightning.ai
- Local development
- Users can connect local IDEs such as VS Code, Cursor, and PyCharm over SSH.Read 5 Oct 2026 · lightning.ai
- Multi-node training
- Teams supports up to 12 GPUs across multiple nodes, while Enterprise removes the published multi-node limit.Read 15 Oct 2026 · lightning.ai
- Operational complaint
- StatusGator user reports include default CPU Studios freezing during setup and missing template pages.Read 15 Oct 2026 · statusgator.com
- Outages
- StatusGator recorded more than 25 Lightning AI outages in four months, including a 19-hour-50-minute H200 outage and a 35-minute model API outage in October 2026.Read 15 Oct 2026 · statusgator.com
- Persistent environment
- Studios automatically save their environment, including installed packages, custom Python versions, and downloaded files.Read 5 Oct 2026 · lightning.ai
- Persistent storage
- Studio storage remains available when an instance stops, and Lightning Drive shares data across Studios.Read 15 Oct 2026 · lightning.ai
- Praise: cloud ML workflow
- G2 reviewers praised browser-based VS Code and Jupyter tools, prebuilt models and avoiding local GPU hardware.Read 15 Oct 2026 · g2.com
- Praise: setup and documentation
- A G2 reviewer praised easy environment setup, documentation and no-code model deployment with autoscaling.Read 15 Oct 2026 · g2.com
- Praise: value
- A Trustpilot reviewer using the service for about two years called it comparatively inexpensive for its capabilities.Read 15 Oct 2026 · trustpilot.com
- Private cloud
- Enterprise customers can run Lightning Studios in their own VPC and use AWS or GCP cloud credits.Read 5 Oct 2026 · lightning.ai
- Private projects
- YesRead 23 Sep 2026 · lightning.ai
- Rating on G2
- 4.5 out of 5 from 4 reviewsRead 15 Oct 2026 · g2.com
- Rating on Trustpilot
- 2.8 out of 5 from 6 reviewsRead 15 Oct 2026 · trustpilot.com
- Real-time collaboration
- YesRead 23 Sep 2026 · lightning.ai
- SDK licence
- The Lightning SDK repository is released under Apache-2.0, while the hosted Studio service is proprietary.Read 15 Oct 2026 · github.com
- SDKs
- The public SDK repository provides Python, TypeScript and Go packages for Studios, jobs, deployments, teamspaces and sandboxes.Read 15 Oct 2026 · github.com
- Security compliance
- Lightning states that its AWS and GCP clouds support SOC 2 Type II compliance and offers the report on request.Read 15 Oct 2026 · lightning.ai
- Self-hosting
- LitServe can deploy to Lightning, a private VPC or any self-managed laptop or server.Read 15 Oct 2026 · lightning.ai
- Sharing controls
- access_controlRead 23 Sep 2026 · lightning.ai
Plans and prices
Free Free 1 free active Studio · 50 GB persistent storage · Up to 2 concurrent GPUs Read 23 Sep 2026 · lightning.ai
Free 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 $20 a month billed annually 240 annual credits · 1 active Studio · 64-core CPU · multi-GPU T4/L4/L40S · 6 concurrent GPUs · 200 GB storage Read 15 Oct 2026 · lightning.ai
Pro (annual) $20 a month annually 240 annual credits · 1 active Studio with no restarts · 200 GB storage limit Read 5 Oct 2026 · lightning.ai
Pro (monthly) $50 a month monthly 240 annual credits · 1 active Studio with no restarts · 200 GB storage limit Read 5 Oct 2026 · lightning.ai
Teams $119 a month billed annually, per user 600 annual credits · 1 active Studio · 96-core CPU · full-node A100/H100/H200 · 12 concurrent GPUs · 2 TB storage Read 15 Oct 2026 · lightning.ai
Teams (annual) $119 a month annually, per user 600 annual credits · Up to 12 concurrent GPUs · 2 TB storage limit Read 5 Oct 2026 · lightning.ai
Teams (monthly) $140 a month monthly, per user 600 annual credits · Up to 12 concurrent GPUs · 2 TB storage limit Read 5 Oct 2026 · lightning.ai
Enterprise Priced on request 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 Read 15 Oct 2026 · lightning.ai
Strong points and limits
Strong points
- Persistent environments save packages, Python versions, and files.
- Browser-accessible VS Code and JupyterLab are included.
- Supports private projects and real-time collaboration.
- Local IDEs can connect over SSH.
- Offers an SDK for Studio workflow automation.
Limits
- Free active Studio requires a restart every four hours.
- Free plan includes only one active Studio.
- Enterprise availability requires customer AWS or GCP cloud credits.
Who it suits
The Free plan is described for students, researchers, and hobbyists; Pro for developers, researchers, and scientists; and Teams for research labs and small teams. Enterprise may suit organizations that need to deploy in their own VPC.
Verdict
Lightning AI Studios combines persistent GPU workspaces with browser and local development options, collaboration, and deployment tools. Compare the Free plan’s restart requirement and limits with the larger allowances in paid plans.
Where Specifiction places it
- Deep Learning Software#1 of 359.1
- Coding Playgrounds#6 of 1389.3