Paperspace vs RunPod: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Paperspace and RunPod. Updated July 2026.
Provider Overview
Strengths & Best For
Paperspace (now part of DigitalOcean) offers A100, H100, A6000, A5000, A4000, and RTX 5000 GPU instances alongside Gradient, its managed ML platform with Jupyter notebooks, experiment tracking, and one-click model deployment. On-demand pricing: H100 $3.09/hr, A100 $2.24/hr (3-yr commitment), A100-80G $1.15/hr (3-yr), A6000 $1.89/hr, A5000 $1.38/hr, A4000 $0.76/hr. Monthly dedicated options available. Gradient plans start at Free (5GB storage, basic GPUs) through Pro ($8/mo) and Growth ($39/mo). A beginner-friendly on-demand GPU cloud with a polished notebook-centric experience, now integrated into the DigitalOcean ecosystem.
- Gradient managed ML platform with Jupyter notebooks
- Simple UI and beginner-friendly onboarding
- H100 at $3.09/hr on-demand
- Free tier available for beginners
- DigitalOcean ecosystem integration
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RunPod is an AI developer cloud trusted by 1M+ developers, offering Pods (on-demand GPU instances), Serverless (autoscaling endpoints that scale to zero), and Clusters (multi-node distributed training) — all in one account. Live Secure Cloud pricing: B300 $7.89/hr, B200 $6.79/hr, H200 $4.59/hr, RTX PRO 6000 $2.09/hr, H100 NVL $3.19/hr, H100 PCIe $2.89/hr, H100 SXM $3.49/hr, A100 $1.59/hr, L40S $1.09/hr, RTX 4090 $0.74/hr, RTX 5090 $0.99/hr. Serverless: B300 $9.98/hr, H200 $5.93/hr, H100 $4.79/hr. Clusters: H200 SXM $4.31/hr, A100 SXM $1.79/hr. Public Endpoints for instant model access. 31 global regions. SOC 2 Type II, HIPAA, GDPR compliant.
- B300 at $7.89/hr, H200 at $4.59/hr — competitive Blackwell and Hopper pricing
- RTX 5090 at $0.99/hr and RTX 4090 at $0.74/hr for budget inference
- Serverless with sub-200ms cold starts (FlashBoot) and zero idle cost
- Pods + Serverless + Clusters + Public Endpoints in one account
- SOC 2 Type II, HIPAA, GDPR compliant
- 31 global regions with per-second billing
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Live GPU Pricing
Region Coverage
Popular Comparisons
Paperspace — specialist provider
Paperspace (now part of DigitalOcean) offers A100, H100, A6000, A5000, A4000, and RTX 5000 GPU instances alongside Gradient, its managed ML platform with Jupyter notebooks, experiment tracking, and one-click model deployment. On-demand pricing: H100 $3.09/hr, A100 $2.24/hr (3-yr commitment), A100-80G $1.15/hr (3-yr), A6000 $1.89/hr, A5000 $1.38/hr, A4000 $0.76/hr. Monthly dedicated options available. Gradient plans start at Free (5GB storage, basic GPUs) through Pro ($8/mo) and Growth ($39/mo). A beginner-friendly on-demand GPU cloud with a polished notebook-centric experience, now integrated into the DigitalOcean ecosystem.
RunPod — specialist provider
RunPod is an AI developer cloud trusted by 1M+ developers, offering Pods (on-demand GPU instances), Serverless (autoscaling endpoints that scale to zero), and Clusters (multi-node distributed training) — all in one account. Live Secure Cloud pricing: B300 $7.89/hr, B200 $6.79/hr, H200 $4.59/hr, RTX PRO 6000 $2.09/hr, H100 NVL $3.19/hr, H100 PCIe $2.89/hr, H100 SXM $3.49/hr, A100 $1.59/hr, L40S $1.09/hr, RTX 4090 $0.74/hr, RTX 5090 $0.99/hr. Serverless: B300 $9.98/hr, H200 $5.93/hr, H100 $4.79/hr. Clusters: H200 SXM $4.31/hr, A100 SXM $1.79/hr. Public Endpoints for instant model access. 31 global regions. SOC 2 Type II, HIPAA, GDPR compliant.
Billing model comparison
Paperspace uses a On-demand, Monthly, Reserved (3yr) billing model with a minimum commitment of None. RunPod uses On-demand, Spot, Serverless (per-second) 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 and students, Notebook-based workflows, Small teams wanting managed ML platform, Teams already on DigitalOcean. Its key strengths are gradient managed ml platform with jupyter notebooks, simple ui and beginner-friendly onboarding, h100 at $3.09/hr on-demand. RunPod is best suited for: AI developers wanting one platform for all stages, Serverless inference with zero idle cost, Multi-node distributed training via Clusters, Budget-conscious teams needing RTX 4090/5090 inference. Its key strengths are b300 at $7.89/hr, h200 at $4.59/hr — competitive blackwell and hopper pricing, rtx 5090 at $0.99/hr and rtx 4090 at $0.74/hr for budget inference, serverless with sub-200ms cold starts (flashboot) and zero idle cost. 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). RunPod offers Community → Enterprise support across 4 regions (US, EU, CA and 1 more). RunPod'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 RunPod
Paperspace was founded in 2014 and is headquartered in New York, NY. RunPod was founded in 2022 and is headquartered in San Francisco, CA. Paperspace has 8 years more operational history than RunPod, 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.