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Koyeb vs Ollama

KoyebOllama

Bottom line: Koyeb for aI startups deploying inference; Ollama for developers wanting local, private LLMs.

KoyebKoyeb

Serverless cloud with scale-to-zero GPUs for AI inference and apps

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OllamaOllama

Run open LLMs locally with a single command.

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Votes00
PricingFreemiumFreemium
CategoryAi InfrastructureAi Infrastructure
Tags
serverlessgpuinferencescale-to-zerodeployment
local-llmopen-sourceprivacyself-hosteddeveloper-tools
Best for
  • AI startups deploying inference
  • Developers wanting autoscaling
  • Cost-conscious GPU users
  • Developers wanting local, private LLMs
  • Privacy-conscious teams
  • Offline and on-device use cases
Pros
  • Scale-to-zero saves idle GPU cost
  • Per-second billing
  • Competitive H100 pricing
  • Broad GPU range up to B200
  • Global multi-region deployments
  • Free and open source
  • Extremely simple to install and use
  • Runs fully offline with no per-token fees
  • Local OpenAI-compatible API for easy integration
  • Cross-platform (macOS, Windows, Linux)
Cons
  • Flat plan fee on top of usage
  • Not a full hyperscaler feature set
  • GPU availability can vary
  • Less mature ecosystem than AWS/GCP
  • Enterprise controls still maturing
  • Performance bounded by local hardware
  • Largest frontier models need the paid cloud
  • No built-in team collaboration features
  • Quality depends on chosen model and quantization
  • Local setup still requires adequate RAM and GPU

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