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Verda vs Lambda Labs: GPU Compute Price Comparison

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

Provider Overview

Provider type
Specialist
Specialist
Founded
2020
2012
Headquarters
Helsinki, Finland
San Francisco, CA
Billing model
On-demand, Reserved
On-demand, Reserved (1yr/3yr)
Min commitment
None
None (on-demand)
Support tier
Standard → Enterprise
Community → Enterprise
Regions
2 regions
5 regions

Strengths & Best For

Verda

Verda (formerly DataCrunch) is a Finnish GPU cloud offering 13 GPU types including H100, A100, RTX A6000, and V100 instances with competitive on-demand pricing and enterprise-grade infrastructure for AI and ML workloads. On-demand and reserved billing options are available from Finnish data centers, providing EU data residency for Nordic and European teams with GDPR requirements. A reliable European GPU cloud for cost-sensitive AI training and inference with broad hardware variety.

Strengths
  • Finnish infrastructure
  • Competitive V100/A100 pricing
  • 13 GPU types
  • Enterprise-grade
Best For
EU AI teamsCost-sensitive trainingNordic data residency
Visit Verda
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

Verda2 regions
EU-NorthEU-West
Lambda Labs5 regions
us-east-1us-west-1us-west-3eu-central-1ap-south-1

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