Cloud · head to head
Cerebrium vs Zipkin

Cerebrium
Cloud
Serverless GPU infrastructure for real-time AI inference and applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Zipkin less active development and smaller community momentum than Jaeger
- They diverge on capability: Cerebrium covers Ultra-fast cold starts, Zipkin covers Trace collection and search.
Where they differ
Only the attributes on which Cerebrium and Zipkin actually diverge.
Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Cloud).
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 Zipkin
- Trace collection and search
- Dependency diagram
- Simple deployment
- Pluggable storage
What people use each for
The jobs each tool is most often brought in to do.
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Zipkin
- Video and image model serving with low latencynot Zipkin
- LLM inference and completion endpointsnot Zipkin
- Real-time embeddings and vector database operationsnot Zipkin
- Distributed model training with hyperparameter sweepsnot Zipkin
Zipkin
- Adding distributed tracing quickly without standing up heavy infrastructurenot Cerebrium
- Java and Spring Boot estates, where instrumentation support is long-establishednot Cerebrium
- Small deployments where Jaeger is more than the problem requiresnot 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
Zipkin
- Less active development and smaller community momentum than Jaeger
- Fewer features: sampling, storage options and UI are all more limited
- The interface is dated and slower to work with on large trace volumes
- Tracing alone still leaves metrics and logs in separate tools during an incident
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
Zipkin
Free- ZipkinFree
- Full functionality
- No usage limits
- Community support
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 Zipkin if
- You need trace collection and search.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Self-hosted.
- You also want dependency diagram.
Questions people ask
- Is Cerebrium or Zipkin better?
- Neither clearly leads. Cerebrium starts at Free and Zipkin at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cerebrium or Zipkin?
- Cerebrium starts at Free and Zipkin at Free.
- Does Cerebrium or Zipkin run on more platforms?
- Cerebrium runs on Cloud, Docker. Zipkin runs on Linux, Docker, Kubernetes, Self-hosted.
- 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 Zipkin is typically brought in for.
- What can Cerebrium do that Zipkin cannot?
- Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Zipkin covers Trace collection and search, Dependency diagram, Simple deployment, Pluggable storage.
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.
SourceZipkin: Is Zipkin free?
Yes, open source with no licence fee.
Cerebrium: 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.
SourceZipkin: Zipkin or Jaeger?
Jaeger has more momentum, more features and CNCF backing. Zipkin is lighter and quicker to stand up, and remains well supported in the Java and Spring ecosystem.
Cerebrium: 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.
SourceZipkin: Does Zipkin work with OpenTelemetry?
Yes. OpenTelemetry can export to Zipkin, which is now the usual way to instrument for it.
Related pages
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- Zipkin vs Neon
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- Zipkin vs AWS (Amazon Web Services)
- Zipkin vs Pulumi
- Zipkin vs Fly.io
- Zipkin vs Anyscale
- Zipkin vs Fireworks AI
- Zipkin vs Podman
- Zipkin vs Railway
- Zipkin vs Render
- Zipkin vs Vault
- Zipkin vs Wiz
- Zipkin vs Beam Cloud
- Zipkin vs DeepInfra
- Zipkin vs Go
- Zipkin vs Azure Functions
- Zipkin vs Caddy

