Provider Overview
Strengths & Best For
Vultr offers H100, A100, and L40S GPU instances across 32 global locations with simple hourly GPU rental pricing and no long-term commitment required. A developer-friendly GPU cloud with a clean API, straightforward billing, and broad geographic coverage for teams needing AI inference or training capacity close to their users. A solid choice for global deployment of AI workloads without the complexity of hyperscaler pricing models.
- 32 global locations
- Simple pricing
- Hourly billing
- Good API
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
Vultr — specialist provider
Vultr offers H100, A100, and L40S GPU instances across 32 global locations with simple hourly GPU rental pricing and no long-term commitment required. A developer-friendly GPU cloud with a clean API, straightforward billing, and broad geographic coverage for teams needing AI inference or training capacity close to their users. A solid choice for global deployment of AI workloads without the complexity of hyperscaler pricing models.
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
Vultr uses a On-demand (hourly) 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
Vultr is best suited for: Global deployment, Simple workloads, Developer-friendly teams. Its key strengths are 32 global locations, simple pricing, hourly billing. 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
Vultr offers Basic → Enterprise support across 5 regions (US, EU, APAC and 2 more). Koyeb offers Community → Standard support across 2 regions (EU, US). Vultr's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: Vultr vs Koyeb
Vultr was founded in 2014 and is headquartered in Matawan, NJ. Koyeb was founded in 2021 and is headquartered in Paris, France. Vultr has 7 years more operational history than Koyeb, 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.