Amazon SageMaker Studio Lab vs Lightning AI Studios
Amazon SageMaker Studio Lab
studiolab.sagemaker.awsLightning AI Studios
lightning.aiSide by side
| Figure | Amazon SageMaker Studio Lab | Lightning AI Studios |
|---|---|---|
| Price from | Free | $20/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 2 | 9 |
| Spec score · Coding Playgrounds | 7.5 (#102) | 9.3 (#6) |
| Deployment options | none | full_stack |
| Free plan | Yes | Yes |
| Full-stack runtime | No | Yes |
| Purpose | Studio Lab provides free AWS compute resources for creating and running Jupyter notebooks without signing up for an AWS account. | AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. |
| Security | AWS says Studio Lab does not support Studio Classic's fine-grained access control and security features using IAM, VPC, and KMS. | Lightning says it is SOC 2 compliant for AWS and GCP clouds in all regions. |
Plans
Amazon SageMaker Studio Lab
- FreeFree
- Amazon SageMaker Studio LabFree
Lightning AI Studios
- FreeFree
- FreeFree
- Pro$20 a month
- Pro (annual)$20 a month
- Pro (monthly)$50 a month
- Teams$119 a month
- Teams (annual)$119 a month
- Teams (monthly)$140 a month
- EnterprisePriced on request
In their own words
Amazon SageMaker Studio Lab
Amazon SageMaker Studio Lab has no write-up on Specifiction yet; its figures are above.
Lightning AI Studios
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.