Provider Overview
Strengths & Best For
RunPod is a community GPU cloud marketplace offering H100, A100, RTX 4090, and RTX 3090 instances on both on-demand and spot GPU rental plans, consistently among the lowest-cost options available. Its spot instances make it especially popular with indie AI developers running batch inference, image generation, and LLM fine-tuning on a budget. A serverless GPU option is also available for per-second billing on inference endpoints.
- Very competitive pricing
- Wide GPU selection
- Spot instances
- Serverless GPU option
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
RunPod — specialist provider
RunPod is a community GPU cloud marketplace offering H100, A100, RTX 4090, and RTX 3090 instances on both on-demand and spot GPU rental plans, consistently among the lowest-cost options available. Its spot instances make it especially popular with indie AI developers running batch inference, image generation, and LLM fine-tuning on a budget. A serverless GPU option is also available for per-second billing on inference endpoints.
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
RunPod uses a On-demand, Spot (interruptible) 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
RunPod is best suited for: Budget-conscious developers, Experimentation, Batch inference jobs. Its key strengths are very competitive pricing, wide gpu selection, spot instances. 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
RunPod offers Community → Pro support across 3 regions (US, EU, CA). Koyeb offers Community → Standard support across 2 regions (EU, US). RunPod's broader region footprint gives it an advantage for latency-sensitive workloads or teams with data residency requirements in specific geographies.
Provider background: RunPod vs Koyeb
RunPod was founded in 2022 and is headquartered in San Francisco, CA. Koyeb was founded in 2021 and is headquartered in Paris, France. Koyeb has 1 years more operational history than RunPod, 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.