Cloud · head to head
Cerebrium vs Galileo

Cerebrium
Cloud
Serverless GPU infrastructure for real-time AI inference and applications
- From
- Free
- Rated
- -

Galileo
AI
Evaluation and observability platform for GenAI applications and agents
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Galileo the free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.
- They diverge on capability: Cerebrium covers Ultra-fast cold starts, Galileo covers Pre-built evaluations.
Where they differ
Only the attributes on which Cerebrium and Galileo actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated).
What each one covers
Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.
Only in Cerebrium
- Ultra-fast cold starts
- Elastic scaling
- Bring your own code
- Multi-region failover
- WebSocket and streaming
- Asynchronous jobs
- CI/CD with gradual rollouts
- OpenTelemetry integration
Only in Galileo
- Pre-built evaluations
- Ground truth capture
- Luna models
- Agent behavior analysis
- Production guardrails
- Flexible deployment
What people use each for
The jobs each tool is most often brought in to do.
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Galileo
- Video and image model serving with low latencynot Galileo
- LLM inference and completion endpointsnot Galileo
- Real-time embeddings and vector database operationsnot Galileo
- Distributed model training with hyperparameter sweepsnot Galileo
Galileo
- Evaluating RAG and agent applications before production releasenot Cerebrium
- Monitoring live GenAI applications for failures and driftnot Cerebrium
- Applying real-time guardrails without custom integration worknot Cerebrium
- Reducing evaluation costs using distilled Luna judge modelsnot Cerebrium
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Cerebrium
- Free Hobby tier limited to 3 apps and 5 GPU concurrency
- Standard plan at $100/month required for production deployments
- Per-second compute pricing requires continuous cost monitoring
- Storage costs add up for large model files
Galileo
- The free plan is limited to 5,000 traces per month, which is quickly outgrown by production workloads.
- Real-time guardrails and unlimited trace capacity are reserved for the custom-priced Enterprise tier.
- Pro plan pricing scales with trace volume, so costs can grow unpredictably as usage increases.
- On-premises deployment requires an Enterprise contract rather than being available self-serve.
Pricing, plan by plan
Cerebrium
Free- HobbyFree
- 3 user seats
- Up to 3 deployed apps
- 5 GPU concurrency
- Standard$100/month
- Unlimited seats and apps
- 30 GPU concurrency
- Custom domains
- Enterprise$undefined/custom
- Unlimited resources
- Volume discounts
- Dedicated support
- GPU Compute$undefined/per-second
- T4: $0.000164/s
- H100: $0.00167/s
Galileo
Free- FreeFree
- 5,000 traces/month
- Unlimited users
- Unlimited custom evaluations
- Pro$100/month
- 50,000 traces/month
- Standard role-based access control
- Advanced analytics and insights
- Enterprise$undefined/mo
- Unlimited trace capacity
- Custom rate limits
- Hosted, VPC, or on-prem deployment
Which should you pick?
Choose Cerebrium if
- You need ultra-fast cold starts.
- You want to start without paying.
- You work on Cloud, Docker.
- You also want elastic scaling.
Choose Galileo if
- You need pre-built evaluations.
- You want to start without paying.
- You work on web, api.
- You also want ground truth capture.
Questions people ask
- Is Cerebrium or Galileo better?
- Neither clearly leads. Cerebrium starts at Free and Galileo at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cerebrium or Galileo?
- Cerebrium starts at Free and Galileo at Free.
- Does Cerebrium or Galileo run on more platforms?
- Cerebrium runs on Cloud, Docker. Galileo runs on web, api.
- Can I use Cerebrium for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Cerebrium best used for?
- Cerebrium is most often used for deploying voice agents and conversational ai applications, video and image model serving with low latency, llm inference and completion endpoints, real-time embeddings and vector database operations. Of those, deploying voice agents and conversational ai applications and video and image model serving with low latency are not what Galileo is typically brought in for.
- What can Cerebrium do that Galileo cannot?
- Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Galileo covers Pre-built evaluations, Ground truth capture, Luna models, Agent behavior analysis.
Answered from the vendors’ own pages
Cerebrium: Is Cerebrium only for inference or can it train models?
Cerebrium supports both inference serving and model training with hyperparameter sweeps. It enables deployment of voice agents, LLMs, video models, and other AI applications.
SourceGalileo: What does Galileo cost?
Galileo offers a free plan, a Pro plan at $100/month billed yearly (with a 33% annual discount), and a custom-priced Enterprise plan for unlimited trace capacity.
SourceCerebrium: How do the cold starts compare to other platforms?
Cerebrium achieves 2-4 second cold starts through memory and GPU snapshotting, significantly faster than traditional 30+ second cold boots. This is competitive with platforms like Beam Cloud.
SourceGalileo: Is there a free plan, and what are its limits?
The Free plan includes 5,000 traces per month with unlimited users and unlimited custom evaluations, aimed at developers and small teams experimenting with GenAI.
SourceCerebrium: What compliance certifications does Cerebrium have?
Cerebrium maintains SOC 2 Type II compliance, HIPAA certification, GDPR compliance, and ISO certification. It provides gVisor container isolation and configurable data residency for regulated workloads.
SourceGalileo: How is usage metered?
Galileo's pricing scales based on the number of traces processed each month, with Free capped at 5,000, Pro at 50,000, and Enterprise offering unlimited trace capacity.
SourceRelated pages
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- Galileo vs DigitalOcean
- Galileo vs AWS (Amazon Web Services)
- Galileo vs Pulumi
- Galileo vs Fly.io
- Galileo vs Anyscale
- Galileo vs Fireworks AI
- Galileo vs Podman
- Galileo vs Railway
- Galileo vs Render
- Galileo vs Vault
- Galileo vs Wiz
- Galileo vs Beam Cloud
- Galileo vs DeepInfra
- Galileo vs Go
- Galileo vs Azure Functions
- Galileo vs Caddy
- Galileo vs Pika
- Galileo vs Anthropic API
- Galileo vs D-ID
- Galileo vs Fathom
- Galileo vs Together AI
- Galileo vs Stable Diffusion
- Galileo vs Arize AI
- Galileo vs ChatGPT
- Galileo vs Perplexity
- Galileo vs AutoGen
- Galileo vs Black Forest Labs
- Galileo vs Cartesia
- Galileo vs Deepgram
- Galileo vs Helicone
- Galileo vs Ideogram
- Galileo vs Jasper
- Galileo vs LangGraph
- Galileo vs Lindy
