Impossible Cloud vs Koyeb: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Impossible Cloud and Koyeb. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
Impossible Cloud is a decentralized Web3-native cloud provider offering H100 and A100 GPU instances alongside decentralized storage, with competitive on-demand pricing and European data center presence in Hamburg. The decentralized architecture and crypto-native billing model make it a natural fit for Web3 teams running AI training and inference workloads within European borders. A unique option for blockchain-native organizations that want GPU compute with EU data residency and a decentralized infrastructure model.
- Decentralized architecture
- Competitive pricing
- European presence
- Web3/decentralized model — reliability less proven than traditional clouds
- Small provider — limited scale
- Limited enterprise features
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Koyeb is joining Mistral AI to build the future of AI infrastructure. The platform offers serverless GPU compute with automatic scaling to zero and per-second billing. GPU catalog: B200, H200, H100, A100 SXM, RTX PRO 6000, A100, L40S, RTX A6000, L4, RTX 4000 SFF Ada. N300s (NVIDIA Rubin) available via request. 7 regions in US, EU, and Asia. Saving plans up to 50% off. Kubernetes deployment in 120 seconds. Check koyeb.com/pricing for current rates.
- B200, H200, H100 — competitive serverless pricing
- Joining Mistral AI — strong AI infrastructure future
- Automatic scaling to zero — no idle costs
- Per-second billing, Kubernetes in 120 seconds
- 7 regions in US, EU, and Asia
- N300s (NVIDIA Rubin) available via request
- Acquisition by Mistral AI may change product direction
- Fewer regions than major cloud providers
- Less mature ecosystem vs CoreWeave or Lambda
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Key differences
Impossible Cloud
Decentralized cloud infrastructure
Koyeb
Joining Mistral AI — B200, H200, H100, serverless GPU with scale-to-zero