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Leafcloud vs Lambda Labs: GPU Compute Price Comparison

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

Provider Overview

Provider type
Specialist
Specialist
Founded
2019
2012
Headquarters
Amsterdam, Netherlands
San Francisco, CA
Billing model
On-demand
On-demand, Reserved (1yr/3yr)
Min commitment
None
None (on-demand)
Support tier
Standard
Community → Enterprise
Regions
2 regions
5 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
Lambda Labs

Lambda Labs offers on-demand and reserved H100, A100, and RTX A6000 GPU instances with simple flat pricing and no egress fees — a refreshing contrast to hyperscaler complexity. Pre-configured PyTorch and TensorFlow environments mean researchers can start LLM training or fine-tuning in minutes without any setup overhead. A go-to on-demand GPU cloud for ML teams that want predictable hourly GPU rental costs without long-term commitments.

Strengths
  • Simple pricing
  • Pre-configured ML stack
  • No egress fees
  • Jupyter notebooks included
Best For
ML researchersDeep learning trainingTeams wanting simplicity
Visit Lambda Labs

Live GPU Pricing

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Region Coverage

Lambda Labs5 regions
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