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Lambda Labs vs Denvr Dataworks: GPU Compute Price Comparison

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

Provider Overview

Provider type
Specialist
Specialist
Founded
2012
2021
Headquarters
San Francisco, CA
Calgary, Canada
Billing model
On-demand, Reserved (1yr/3yr)
On-demand
Min commitment
None (on-demand)
None
Support tier
Community → Enterprise
Standard
Regions
5 regions
2 regions

Strengths & Best For

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
Denvr Dataworks

Denvr Dataworks is a Canadian GPU cloud known for highly competitive H100 and A100 on-demand pricing — among the lowest in North America — with data centers in Canada and the US providing North American data residency for cost-sensitive AI training workloads. Simple self-serve provisioning and H200 availability make it a practical choice for teams that need flagship NVIDIA hardware without the premium pricing of larger providers. A strong option for Canadian enterprises and budget-conscious AI labs needing North American GPU infrastructure.

Strengths
  • Among the lowest H100 on-demand prices in North America
  • Canadian data residency
  • H200 availability
  • Simple self-serve platform
Best For
Cost-sensitive trainingCanadian data residency requirementsH100/H200 at scale
Visit Denvr Dataworks

Live GPU Pricing

No live pricing data available for these providers right now. View all live GPU prices →

Region Coverage

Lambda Labs5 regions
us-east-1us-west-1us-west-3eu-central-1ap-south-1

Popular Comparisons

Lambda Labsspecialist provider

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.

Denvr Dataworksspecialist provider

Denvr Dataworks is a Canadian GPU cloud known for highly competitive H100 and A100 on-demand pricing — among the lowest in North America — with data centers in Canada and the US providing North American data residency for cost-sensitive AI training workloads. Simple self-serve provisioning and H200 availability make it a practical choice for teams that need flagship NVIDIA hardware without the premium pricing of larger providers. A strong option for Canadian enterprises and budget-conscious AI labs needing North American GPU infrastructure.

Billing model comparison

Lambda Labs uses a On-demand, Reserved (1yr/3yr) billing model with a minimum commitment of None (on-demand). Denvr Dataworks uses On-demand billing with a None minimum. Lambda Labs's no-commitment on-demand model is more flexible for short-term or experimental workloads, while Denvr Dataworks's commitment requirement suits teams with predictable long-running jobs.

Which workloads each provider suits best

Lambda Labs is best suited for: ML researchers, Deep learning training, Teams wanting simplicity. Its key strengths are simple pricing, pre-configured ml stack, no egress fees. Denvr Dataworks is best suited for: Cost-sensitive training, Canadian data residency requirements, H100/H200 at scale. Its key strengths are among the lowest h100 on-demand prices in north america, canadian data residency, h200 availability. 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

Lambda Labs offers Community → Enterprise support across 5 regions (us-east-1, us-west-1, us-west-3 and 2 more). Denvr Dataworks offers Standard support across 2 regions (CA-West, US). Lambda Labs's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.

Provider background: Lambda Labs vs Denvr Dataworks

Lambda Labs was founded in 2012 and is headquartered in San Francisco, CA. Denvr Dataworks was founded in 2021 and is headquartered in Calgary, Canada. Lambda Labs has 9 years more operational history than Denvr Dataworks, 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.