Koyeb vs TensorDock: Pricing, Specs, Strengths & Weaknesses
Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Koyeb and TensorDock. Rates sourced from public APIs — verify current availability and billing terms before purchasing.
Overview
Strengths & Best For
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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TensorDock is a GPU cloud marketplace connecting users with independent hosts across 100+ global locations. 45+ GPU models from consumer RTX cards to HGX H100 SXM5, including H100 SXM5, A100 SXM4, and RTX 4090. Pay-per-second billing with no minimum commitments, no waitlists, and no quotas. Hosts compete on price, keeping rates among the lowest available. KVM virtualization with root access and dedicated GPUs. Windows 10 support. Voltage Park (merged with Lightning AI) is a TensorDock partner. Customers include Florida State University, airgpu, ELBO, and Creavite.
- H100 SXM — competitive H100 pricing
- A100 SXM and RTX 4090 at competitive marketplace rates
- Pay-per-second billing with no minimum commitment
- 45+ GPU models from consumer to H100
- 100+ global locations across 20+ countries
- No waitlists or quotas — low minimum deposit to start
- Marketplace model — hardware quality varies by host
- No enterprise SLAs or uptime guarantees
- Limited support for complex distributed training
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Key differences
Koyeb
Joining Mistral AI — B200, H200, H100, serverless GPU with scale-to-zero
TensorDock
H100 SXM, A100 SXM, RTX 4090 — 45 GPU types, 100+ locations