Denvr Dataworks vs Koyeb: GPU Compute Price Comparison
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Denvr Dataworks and Koyeb. Updated July 2026.
Provider Overview
Strengths & Best For
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.
- Among the lowest H100 on-demand prices in North America
- Canadian data residency
- H200 availability
- Simple self-serve platform
Koyeb is a serverless GPU platform for deploying AI inference endpoints without managing infrastructure, with automatic scaling to zero and pay-per-use billing across EU and US regions. Git-based deployment and a simple dashboard make it easy to ship LLM inference APIs and AI model serving endpoints in minutes. A strong choice for teams that want zero-ops GPU inference with automatic scaling and no idle compute costs.
- Serverless — no infrastructure management
- Automatic scaling to zero
- EU and US regions
- Git-based deployment
Live GPU Pricing
Region Coverage
Popular Comparisons
Denvr Dataworks — specialist 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.
Koyeb — specialist provider
Koyeb is a serverless GPU platform for deploying AI inference endpoints without managing infrastructure, with automatic scaling to zero and pay-per-use billing across EU and US regions. Git-based deployment and a simple dashboard make it easy to ship LLM inference APIs and AI model serving endpoints in minutes. A strong choice for teams that want zero-ops GPU inference with automatic scaling and no idle compute costs.
Billing model comparison
Denvr Dataworks uses a On-demand billing model with a minimum commitment of None. Koyeb uses Pay-per-use (serverless) billing with a None minimum. Both providers offer flexible billing options — compare the live pricing table above to find the best rate for your specific GPU model and workload duration.
Which workloads each provider suits best
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. Koyeb is best suited for: Inference API deployments, Serverless AI apps, Teams wanting zero-ops GPU. Its key strengths are serverless — no infrastructure management, automatic scaling to zero, eu and us regions. 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
Denvr Dataworks offers Standard support across 2 regions (CA-West, US). Koyeb offers Community → Standard support across 2 regions (EU, US). Both providers have comparable region coverage — choose based on which specific regions overlap with your user base or data residency requirements.
Provider background: Denvr Dataworks vs Koyeb
Denvr Dataworks was founded in 2021 and is headquartered in Calgary, Canada. Koyeb was founded in 2021 and is headquartered in Paris, France. Both providers were founded in the same year — evaluate them on current pricing, region coverage, and support tier rather than operational history. 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.