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Cerebrium vs Koyeb: Pricing, Specs, Strengths & Weaknesses

Side-by-side comparison of GPU compute pricing, regions, billing models, and strengths for Cerebrium and Koyeb. Rates sourced from public APIs — verify current availability and billing terms before purchasing.

Overview

Provider type
Specialist
Specialist
Founded
2022
2021
Headquarters
Cape Town, South Africa
Paris, France
Billing model
Per-second usage
Pay-per-use (per-second), Saving plans
Min commitment
None
None
Support tier
Standard
Community → Enterprise
Regions
2 regions
3 regions

Strengths & Best For

Cerebrium

Cerebrium is a serverless ML infrastructure platform that deploys H100, A100, and T4 GPU workloads in seconds using custom containers, enabling real-time LLM inference and fine-tuned model serving without managing any infrastructure. Per-second billing and fast cold starts (typically under 5 seconds) make it highly cost-efficient for bursty AI inference APIs and model deployment pipelines. Supports any Python framework — PyTorch, TensorFlow, JAX, vLLM, TGI. Free tier available. A top choice for ML teams that want to ship production inference endpoints quickly with minimal DevOps overhead.

Strengths
  • Cold starts under 5 seconds — fast serverless GPU spin-up
  • Custom containers — any Python framework supported
  • Per-second billing with free tier
  • H100 and A100 availability
  • Supports vLLM, TGI, and custom inference servers
Weaknesses
  • Smaller provider — limited cluster scale
  • Fewer regions than major cloud providers
  • Not suitable for multi-node distributed training
Best For
Real-time LLM inference APIsFine-tuned model servingTeams wanting serverless GPU with custom containersBursty inference workloads with zero idle cost
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Koyeb

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.

Strengths
  • 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
Weaknesses
  • Acquisition by Mistral AI may change product direction
  • Fewer regions than major cloud providers
  • Less mature ecosystem vs CoreWeave or Lambda
Best For
Inference API deployments with variable trafficServerless AI applicationsTeams wanting zero-ops GPU inferenceMistral AI ecosystem users
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Key differences

Cerebrium

Serverless ML deployment — H100, A100, T4 in seconds via custom containers

Koyeb

Joining Mistral AI — B200, H200, H100, serverless GPU with scale-to-zero

AttributeCerebriumKoyeb
Provider typespecialistspecialist
Billing modelPer-second usagePay-per-use (per-second), Saving plans
Min commitmentNoneNone
Regions2 (US, EU)3 (EU, US, Asia)
Support tierStandardCommunity → Enterprise
Best forReal-time LLM inference APIs, Fine-tuned model servingInference API deployments with variable traffic, Serverless AI applications
Founded / HQ2022 · Cape Town, South Africa2021 · Paris, France