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Leafcloud vs RunPod: GPU Compute Price Comparison

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

Provider Overview

Provider type
Specialist
Specialist
Founded
2019
2022
Headquarters
Amsterdam, Netherlands
San Francisco, CA
Billing model
On-demand
On-demand, Spot (interruptible)
Min commitment
None
None
Support tier
Standard
Community → Pro
Regions
2 regions
3 regions

Strengths & Best For

Leafcloud

Leafcloud is a Dutch sustainable cloud provider that reuses server waste heat to warm buildings, offering GPU compute with 100% renewable energy and GDPR-compliant EU data residency for environmentally conscious AI teams. On-demand billing and a strong sustainability mission make it one of the most genuinely green GPU cloud options in Europe. A top choice for Dutch and EU-based organizations that want to minimize the environmental impact of their AI training and inference workloads.

Strengths
  • Waste heat reuse
  • Sustainable compute
  • GDPR compliant
  • Dutch presence
Best For
Sustainability-focused teamsEuropean AI workloadsGDPR-sensitive data
Visit Leafcloud
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
Visit RunPod

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