GitHub Codespaces vs Lightning AI Studios
GitHub Codespaces
github.comLightning AI Studios
lightning.aiSide by side
| Figure | GitHub Codespaces | Lightning AI Studios |
|---|---|---|
| Price from | $0.07/mo | $20/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | Yes |
| Self-hosted | — | Yes |
| Plans published | 8 | 9 |
| Spec score · Coding Playgrounds | 8.9 (#14) | 9.3 (#6) |
| Founded | 2008 | Lightning AI says founder William Falcon started the company in 2019 with Luis Capelo when it was called Grid.ai. |
| Free plan | Yes | Yes |
| Integrations | The GitHub Codespaces extension connects a GitHub account to develop directly in a local Visual Studio Code installation. | The Studio documentation describes connecting S3 buckets and EFS volumes through Lightning Drive and importing models from Hugging Face and GitHub. |
| Purpose | Codespaces provides configured cloud development environments hosted by GitHub. | AI Studio is a persistent, collaborative GPU cloud workspace for training models, running inference, building agents and AI apps, and coding together. |
| Self hosting | GitHub states that Codespaces cannot be self-hosted. | LitServe can deploy to Lightning, a private VPC or any self-managed laptop or server. |
Plans
GitHub Codespaces
- 2-core compute$0.18 a month
- 4-core compute$0.36 a month
- 8-core compute$0.72 a month
- 16-core compute$1.44 a month
- 32-core compute$2.88 a month
- Codespaces storage$0.07 a month
- GitHub Codespaces personal included usageFree
- GitHub Codespaces pay-as-you-go$0.18 a month
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
GitHub Codespaces
GitHub Codespaces provides cloud development environments configured for a repository and hosted by GitHub. Repository dev container files can define a repeatable environment; users can start from a template or a branch or commit. Each codespace runs in a Docker container on a GitHub-hosted virtual machine, with machine choices from 2 cores, 8 GB RAM, and 32 GB storage to 32 cores, 128 GB RAM, and 128 GB storage. Connect through a browser, Visual Studio Code, or GitHub CLI from an internet-connected device, including an iPad. The Codespaces extension also connects a GitHub account to local Visual Studio Code. Each codespace has its own virtual machine and isolated network; connections use a TLS-encrypted tunnel and GitHub authentication, and forwarded ports are private by default. GitHub Free personal accounts include 120 compute hours and 15 GB-month of storage; Pro includes 180 hours and 20 GB-month. Usage is billed monthly, with 2-core compute at $0.18 a month and storage at $0.07 a month. Codespaces cannot be self-hosted and is unavailable for repositories owned by managed user accounts.
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.