Cloud · head to head
Cerebrium vs Terragrunt

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

Terragrunt
Cloud
The Open Source IaC Orchestrator Platform Teams Trust
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Terragrunt additional complexity layer on top of Terraform
- They diverge on capability: Cerebrium covers Ultra-fast cold starts, Terragrunt covers Infrastructure orchestration.
Where they differ
Only the attributes on which Cerebrium and Terragrunt actually diverge.
| Attribute | Cerebrium | Terragrunt |
|---|---|---|
| Pricing model | Freemium with monthly plans and per-second compute charges | Unknown |
| Platforms | Cloud, Docker | AWS, Azure, GCP |
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 Terragrunt
- Infrastructure orchestration
- Run Queue
- DRY configuration
- Automated hooks
- Infrastructure catalog
- Least-privilege access
What people use each for
The jobs each tool is most often brought in to do.
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Terragrunt
- Video and image model serving with low latencynot Terragrunt
- LLM inference and completion endpointsnot Terragrunt
- Real-time embeddings and vector database operationsnot Terragrunt
- Distributed model training with hyperparameter sweepsnot Terragrunt
Terragrunt
- Organizing Terraform code across multiple environmentsnot Cerebrium
- Automating infrastructure deployment workflowsnot Cerebrium
- Implementing infrastructure as code templates for developer self-servicenot 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
Terragrunt
- Additional complexity layer on top of Terraform
- Requires understanding of Terraform concepts
- Paid tier pricing not clearly published
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: $0.00167/s
Terragrunt
Free- Open SourceFree
- Terragrunt CLI - completely free
- Community support
- Terragrunt Scale FreeFree
- Free CI/CD pipeline
- Unlimited runs and resources
- For up to 25 infrastructure units
- Terragrunt Scale Paid$undefined/custom
- Volume pricing for more than 25 infrastructure units
- Enterprise 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 Terragrunt if
- You need infrastructure orchestration.
- You want to start without paying.
- You work on AWS, Azure, GCP.
- You also want run queue.
Questions people ask
- Is Cerebrium or Terragrunt better?
- Neither clearly leads. Cerebrium starts at Free and Terragrunt at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cerebrium or Terragrunt?
- Cerebrium starts at Free and Terragrunt at Free.
- Does Cerebrium or Terragrunt run on more platforms?
- Cerebrium runs on Cloud, Docker. Terragrunt runs on AWS, Azure, GCP.
- 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 Terragrunt is typically brought in for.
- What can Cerebrium do that Terragrunt cannot?
- Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Terragrunt covers Infrastructure orchestration, Run Queue, DRY configuration, Automated hooks.
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.
SourceTerragrunt: Is Terragrunt free?
Yes, the Terragrunt CLI is completely free and open source. Terragrunt Scale offers a free tier for up to 25 infrastructure units.
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.
SourceTerragrunt: What is the difference between Terragrunt and Terraform?
Terragrunt is an orchestration layer on top of Terraform that handles state management, DRY principles, and deployment automation without replacing Terraform itself.
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.
SourceRelated pages
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