Paperspace vs Runcrate: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Paperspace and Runcrate. Updated July 2026.
Provider Overview
Strengths & Best For
Paperspace (now part of DigitalOcean) offers A100, RTX 4000 ADA, and RTX 5000 ADA GPU instances alongside Gradient, its managed ML platform with Jupyter notebooks, experiment tracking, and one-click model deployment. On-demand and monthly billing options make it accessible for individuals and small teams exploring AI training and fine-tuning without complex infrastructure setup. A beginner-friendly on-demand GPU cloud with a polished notebook-centric experience.
- Managed ML platform
- Jupyter notebooks
- Simple UI
- DigitalOcean integration
Runcrate is a Berlin-based GPU cloud marketplace aggregating bare-metal and VM instances across 21 GPU types and 11 global regions, with some of the lowest starting prices for on-demand GPU rental available anywhere. The marketplace model gives teams access to H100, A100, and a wide range of other GPU SKUs through a single platform, with flexible spot and on-demand billing. A cost-effective option for EU-based teams needing broad GPU variety and multi-region flexibility.
- 21 GPU types
- 11 global regions
- Very competitive pricing
- Bare metal + VM options
Live GPU Pricing
Region Coverage
Popular Comparisons
Paperspace — specialist provider
Paperspace (now part of DigitalOcean) offers A100, RTX 4000 ADA, and RTX 5000 ADA GPU instances alongside Gradient, its managed ML platform with Jupyter notebooks, experiment tracking, and one-click model deployment. On-demand and monthly billing options make it accessible for individuals and small teams exploring AI training and fine-tuning without complex infrastructure setup. A beginner-friendly on-demand GPU cloud with a polished notebook-centric experience.
Runcrate — marketplace provider
Runcrate is a Berlin-based GPU cloud marketplace aggregating bare-metal and VM instances across 21 GPU types and 11 global regions, with some of the lowest starting prices for on-demand GPU rental available anywhere. The marketplace model gives teams access to H100, A100, and a wide range of other GPU SKUs through a single platform, with flexible spot and on-demand billing. A cost-effective option for EU-based teams needing broad GPU variety and multi-region flexibility.
Billing model comparison
Paperspace uses a On-demand, Monthly billing model with a minimum commitment of None. Runcrate uses On-demand, Spot billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
Paperspace is best suited for: ML beginners, Notebook-based workflows, Small teams. Its key strengths are managed ml platform, jupyter notebooks, simple ui. Runcrate is best suited for: Cost-sensitive teams, Multi-region deployments, Wide GPU variety needs. Its key strengths are 21 gpu types, 11 global regions, very competitive pricing. Marketplace providers aggregate GPU supply from multiple sources, often offering the lowest spot rates but with more variable availability and less predictable performance compared to dedicated providers.
Support tiers and region coverage
Paperspace offers Community → Growth support across 3 regions (US-East, US-West, EU-West). Runcrate offers Community → Standard support across 4 regions (EU-Central, US, APAC and 1 more). Runcrate's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Paperspace vs Runcrate
Paperspace was founded in 2014 and is headquartered in New York, NY. Runcrate was founded in 2024 and is headquartered in Berlin, Germany. Paperspace has 10 years more operational history than Runcrate, which may matter for teams evaluating provider stability and long-term contract risk. Use the live pricing table above to compare current on-demand and spot rates for specific GPU models, and the region map to verify coverage in your target geography.