- Docker image for easy-to-run, single-GPU deployments.
- Faster inference so you can achieve up to 20 pages/sec on an H100.
- 12 months of updates with new functionality, bug fixes, and security updates.
- Priority email support during business hours.
- Commercial license for use in your product or services (without sublicensing)
- One running instance, with up to two additional instances for $1,500 each.
- 50,000 pages per month, with higher volumes available.
- Self-serve checkout via Stripe for instance access.
- A license key: required to run the image.
- A Google Cloud service account key: required to pull the image.
What’s the difference between Open Source and Datalab’s paid On-Prem options?
Our free open-source options (Marker and Surya) are ideal for research, personal use, and early-stage startups. The self-serve on-prem plan is a mid-tier option for lighter implementations that want a commercial license and simple deployment without heavy enterprise contracts. Enterprise is for teams that need scale, customization, and SLAs. Here’s a more detailed breakdown.Free (Open Source) | Self-Serve On-Prem ($5k/year) | Enterprise (Custom) | |
---|---|---|---|
Intended Use | Research, personal use, startups < $2M ARR/funding | Lighter commercial workloads requiring privacy | Regulated or high-scale deployments |
License | GPL + custom RAILs | Commercial license to use Marker & Surya on-prem (without sublicensing) | Commercial license with custom rights as needed |
Deployment | Self-install from OSS repos | Standalone Docker image for easy deployment and upgrades | Customer environment; Datalab-assisted rollout options |
Support | Community only | Priority email support | Premium support with SLAs |
Contracting | None | Click-through agreement (no redlines) | Custom agreements, security reviews |
Billing | Free | Stripe credit card checkout | Invoice/PO, custom terms |
Scale and Performance | Self-effort | Single-GPU support (20 pgs/sec on an H100) up to 50k pages/month included | Throughput/latency/accuracy tuning; custom page counts; custom rate limits |