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Cerebrium vs Agno

CerebriumAgno

Bottom line: Cerebrium for mL engineers; Agno for python teams building agents.

CerebriumCerebrium

Python-native serverless GPU platform for real-time AI inference and custom models

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AgnoAgno

High-performance Python framework for building multi-agent systems and AgentOS

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Votes00
PricingFreemiumFreemium
CategoryAi InfrastructureAgent Frameworks
Tags
serverless-gpuinferencemlopsreal-time-aipython
multi-agentpythonagentopsragopen-source
Best for
  • ML engineers
  • Startups shipping GPU APIs
  • Real-time AI products
  • Python teams building agents
  • Teams wanting predictable flat pricing
  • Multi-agent system builders
Pros
  • Python-native, no container pipelines needed
  • Pay-per-second billing with no idle cost
  • Fast low single-digit second cold starts
  • 12+ GPU types including A100 and H100
  • Separate GPU/CPU/memory line items
  • Performance-focused, Python-first design
  • Full local control plane free of charge
  • Flat pricing with no token or egress fees
  • Built-in knowledge, memory, and evals
  • Model-agnostic across major providers
Cons
  • Smaller than major inference clouds
  • No self-hosting option
  • Cold starts still matter for ultra-low latency
  • Thinner ecosystem and enterprise tooling
  • Python-focused workflow only
  • Python-only framework
  • Pro plan starts relatively high at $150/month
  • Additional connections and seats add up
  • Rebrand from Phidata may cause some confusion
  • Ecosystem younger than the largest frameworks

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