Paperspace vs Oblivus: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Paperspace and Oblivus. 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
Oblivus offers H100 and A100 GPU instances on-demand at competitive rates with straightforward pricing and no hidden fees, making it an accessible option for AI training and inference workloads on a budget. Spot GPU rental is also available for further cost savings on interruptible jobs. A no-frills GPU cloud for startups and developers who want simple, transparent pricing without enterprise complexity.
- Low prices
- Simple pricing
- No hidden fees
- H100 availability
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.
Oblivus — specialist provider
Oblivus offers H100 and A100 GPU instances on-demand at competitive rates with straightforward pricing and no hidden fees, making it an accessible option for AI training and inference workloads on a budget. Spot GPU rental is also available for further cost savings on interruptible jobs. A no-frills GPU cloud for startups and developers who want simple, transparent pricing without enterprise complexity.
Billing model comparison
Paperspace uses a On-demand, Monthly billing model with a minimum commitment of None. Oblivus 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. Oblivus is best suited for: Cost-sensitive training, Budget AI workloads, Startups. Its key strengths are low prices, simple pricing, no hidden fees. Both providers target similar workload profiles — the live pricing table above is the most reliable way to determine which offers better value for your specific GPU model and region requirements.
Support tiers and region coverage
Paperspace offers Community → Growth support across 3 regions (US-East, US-West, EU-West). Oblivus offers Community → Standard support across 2 regions (EU, US). Paperspace'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 Oblivus
Paperspace was founded in 2014 and is headquartered in New York, NY. Oblivus was founded in 2022 and is headquartered in Europe. Paperspace has 8 years more operational history than Oblivus, 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.