Cybersecurity · head to head
Akeyless vs Cerebrium

Cerebrium
Cloud
Serverless GPU infrastructure for real-time AI inference and applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Akeyless pricing is usage-based and complex, requires sales consultation; Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency
- They diverge on capability: Akeyless covers Secrets management, Cerebrium covers Ultra-fast cold starts.
Where they differ
Only the attributes on which Akeyless and Cerebrium 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 Akeyless
- Secrets management
- Machine identity
- AI agent identity
- Certificate management
- Privileged access management
- Multi-vault governance
- Encryption and KMS
- Password manager
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
What people use each for
The jobs each tool is most often brought in to do.
Akeyless
- Securing AI agents with dedicated identity trackingnot Cerebrium
- Managing machine-to-machine credentials at scalenot Cerebrium
- Automating PKI and certificate lifecyclenot Cerebrium
- Implementing just-in-time privileged accessnot Cerebrium
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Akeyless
- Video and image model serving with low latencynot Akeyless
- LLM inference and completion endpointsnot Akeyless
- Real-time embeddings and vector database operationsnot Akeyless
- Distributed model training with hyperparameter sweepsnot Akeyless
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Akeyless
- Pricing is usage-based and complex, requires sales consultation
- Free tier is very limited with restricted access
- No transparent pricing published for enterprise features
- Pricing model varies significantly by product module
Cerebrium
- Free Hobby tier limited to 3 apps and 5 GPU concurrency
- Standard plan at $100/month required for production deployments
- Per-second compute pricing requires continuous cost monitoring
- Storage costs add up for large model files
Pricing, plan by plan
Akeyless
Free- FreeFree
- Limited feature access
- Restricted usage quotas
- Enterprise$undefined/custom
- Custom pricing based on usage
- Unlimited resource quotas
- Full feature access
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
Which should you pick?
Choose Akeyless if
- You need secrets management.
- You want to start without paying.
- You work on Cloud, Hybrid, On-Premises.
- You also want machine identity.
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.
Questions people ask
- Is Akeyless or Cerebrium better?
- Neither clearly leads. Akeyless starts at Free and Cerebrium at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Akeyless or Cerebrium?
- Akeyless starts at Free and Cerebrium at Free.
- Does Akeyless or Cerebrium run on more platforms?
- Akeyless runs on Cloud, Hybrid, On-Premises. Cerebrium runs on Cloud, Docker.
- Can I use Akeyless for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is Akeyless best used for?
- Akeyless is most often used for securing ai agents with dedicated identity tracking, managing machine-to-machine credentials at scale, automating pki and certificate lifecycle, implementing just-in-time privileged access. Of those, securing ai agents with dedicated identity tracking and managing machine-to-machine credentials at scale are not what Cerebrium is typically brought in for.
- What can Akeyless do that Cerebrium cannot?
- Akeyless covers Secrets management, Machine identity, AI agent identity, Certificate management. Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover.
Answered from the vendors’ own pages
Akeyless: What pricing model does Akeyless use?
Akeyless uses usage-based pricing units that vary by product. For example, Secrets Management is priced by clients, Certificate Management by managed certificates, Encryption by transactions, and PAM by users. Contact sales for a custom quote.
SourceCerebrium: 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.
SourceAkeyless: Does Akeyless support hybrid deployment?
Yes, Akeyless offers Pure SaaS cloud-managed deployment and Hybrid SaaS with on-premise gateways and zero-knowledge encryption for sensitive environments.
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.
SourceAkeyless: How does Akeyless handle AI agent identities?
Akeyless provides dedicated AI agent identity tracking with runtime access control, allowing organizations to manage AI agent access separately from human and machine identities.
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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