Cloud · head to head
Cerebrium vs Northflank

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; Northflank pricing complexity with multiple rate dimensions
- They diverge on capability: Cerebrium covers Ultra-fast cold starts, Northflank covers Application deployments.
Where they differ
Only the attributes on which Cerebrium and Northflank actually diverge.
| Attribute | Cerebrium | Northflank |
|---|---|---|
| Pricing model | Freemium with monthly plans and per-second compute charges | Unknown |
| Platforms | Cloud, Docker | AWS, GCP, Azure, On-premises |
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 Northflank
- Application deployments
- GPU support
- Preview environments
- Database management
- Multi-cloud support
- GitOps integration
What people use each for
The jobs each tool is most often brought in to do.
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Northflank
- Video and image model serving with low latencynot Northflank
- LLM inference and completion endpointsnot Northflank
- Real-time embeddings and vector database operationsnot Northflank
- Distributed model training with hyperparameter sweepsnot Northflank
Northflank
- Deploying AI inference models with GPU accelerationnot Cerebrium
- Running training workloads on distributed GPUsnot Cerebrium
- Building microservices with multi-cloud reliabilitynot 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
Northflank
- Pricing complexity with multiple rate dimensions
- GPU costs can be expensive for large-scale deployments
- Learning curve for Kubernetes concepts
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: $0.00167/s
Northflank
Free- Sandbox (Free)Free
- Always-on compute with no sleeping
- 2 free services
- 1 free database
- Pay-as-you-go$undefined/usage
- CPU: $0.01667 per vCPU per hour
- Memory: $0.00833 per GB per hour
- Network egress: $0.06 per GB
- Enterprise$undefined/custom
- Custom pricing with volume discounts
- Invoice-based billing
- Annual commitments
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 Northflank if
- You need application deployments.
- You want to start without paying.
- You work on AWS, GCP, Azure, On-premises.
- You also want gpu support.
Questions people ask
- Is Cerebrium or Northflank better?
- Neither clearly leads. Cerebrium starts at Free and Northflank at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cerebrium or Northflank?
- Cerebrium starts at Free and Northflank at Free.
- Does Cerebrium or Northflank run on more platforms?
- Cerebrium runs on Cloud, Docker. Northflank runs on AWS, GCP, Azure, On-premises.
- 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 Northflank is typically brought in for.
- What can Cerebrium do that Northflank cannot?
- Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Northflank covers Application deployments, GPU support, Preview environments, Database management.
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.
SourceNorthflank: What is included in the free Sandbox tier?
The Sandbox includes always-on compute, 2 free services, 1 free database, 2 free cron jobs, and is perfect for testing applications.
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.
SourceNorthflank: How much does CPU cost on Northflank?
CPU costs $0.01667 per vCPU per hour on pay-as-you-go pricing.
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.
SourceNorthflank: What GPUs are available?
GPU options include NVIDIA L4 at $0.80/hr through H100 at $2.74/hr.
SourceRelated pages
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