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UpCloud vs RunPod: GPU Compute Price Comparison

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for UpCloud and RunPod. Updated July 2026.

Provider Overview

Attribute
Provider type
Specialist
Specialist
Founded
2011
2022
Headquarters
Helsinki, Finland
San Francisco, CA
Billing model
On-demand
On-demand, Spot (interruptible)
Min commitment
None
None
Support tier
Standard
Community → Pro
Regions
4 regions
3 regions

Strengths & Best For

UpCloud

UpCloud is a Finnish cloud provider known for its MaxIOPS storage and reliable infrastructure, now offering H100 and A100 GPU instances for AI and ML workloads across Finnish, EU, US, and APAC data centers. On-demand billing and a strong uptime track record make it a dependable choice for European teams that need GPU compute paired with high-performance storage for data-intensive AI training pipelines. A solid European GPU cloud for teams that value reliability and storage performance alongside GPU compute.

Strengths
  • MaxIOPS storage
  • Reliable uptime
  • European presence
  • Competitive pricing
Best For
European teamsStorage-intensive AIReliable inference
Visit UpCloud
RunPod

RunPod is a community GPU cloud marketplace offering H100, A100, RTX 4090, and RTX 3090 instances on both on-demand and spot GPU rental plans, consistently among the lowest-cost options available. Its spot instances make it especially popular with indie AI developers running batch inference, image generation, and LLM fine-tuning on a budget. A serverless GPU option is also available for per-second billing on inference endpoints.

Strengths
  • Very competitive pricing
  • Wide GPU selection
  • Spot instances
  • Serverless GPU option
Best For
Budget-conscious developersExperimentationBatch inference jobs
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