Overview
Strengths & Best For
HyperAI offers GPU containers and Jupyter notebook environments on prepaid terms, providing a straightforward way to access H100, A100, and RTX GPU compute for AI training and experimentation. The prepaid model gives teams cost predictability without monthly subscription commitments, making it accessible for researchers and small teams that want flexible GPU access with a simple billing model.
- Prepaid billing — cost predictability without subscriptions
- Jupyter notebook environments included
- H100 and A100 availability
- Simple self-serve platform
- Smaller provider — limited scale
- Prepaid model less flexible than on-demand
- Limited documentation and support resources
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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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Live GPU Pricing
Region Coverage
Popular Comparisons
Provider pages
Key differences
HyperAI
GPU containers and notebooks sold on prepaid terms
Koyeb
Joining Mistral AI — B200, H200, H100, serverless GPU with scale-to-zero