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Cloud · head to head

Cerebrium vs Helm

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Free plan
Yes
Full reviewWebsite
H

Helm

Developer Tools

The package manager for Kubernetes

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Helm licensed under Apache License 2.0 per the project's GitHub repository (helm/helm LICENSE); as open source software it has no paid tier or vendor price to compare
  • Prices and features above were last checked on 29 August 2026.

Where they differ

Only the attributes on which Cerebrium and Helm actually diverge.

Attributes where Cerebrium and Helm differ
AttributeCerebriumHelm
Pricing modelFreemium with monthly plans and per-second compute chargesopen-source
PlatformsCloud, DockerWeb
CategoryCloudDeveloper Tools

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 Helm

Nothing recorded that Cerebrium does not also cover.

What people use each for

The jobs each tool is most often brought in to do.

Cerebrium

  • Deploying voice agents and conversational AI applicationsnot Helm
  • Video and image model serving with low latencynot Helm
  • LLM inference and completion endpointsnot Helm
  • Real-time embeddings and vector database operationsnot Helm
  • Distributed model training with hyperparameter sweepsnot Helm

Helm

  • Kubernetes package manager and deployment toolnot 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

Helm

  • Licensed under Apache License 2.0 per the project's GitHub repository (helm/helm LICENSE); as open source software it has no paid tier or vendor price to compare
  • Contributors must sign commits under the Developer Certificate of Origin to have them accepted, per helm.sh, a process requirement not all Kubernetes tools impose

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

Helm

Free

No published plan breakdown. See the Helm review.

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.
Cerebrium review

Choose Helm if

  • You want to start without paying.
Helm review

Questions people ask

Is Cerebrium or Helm better?
Neither clearly leads. Cerebrium starts at Free and Helm at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cerebrium or Helm?
Cerebrium starts at Free and Helm at Free.
Does Cerebrium or Helm run on more platforms?
Cerebrium runs on Cloud, Docker. Helm runs on Web.
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 Helm is typically brought in for.
What can Cerebrium do that Helm cannot?
Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover.

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.

Source
Helm: How much does Helm cost?

Helm is free and open-source. It is a graduated project in the Cloud Native Computing Foundation (CNCF) with no commercial pricing model.

Source
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.

Source
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.

Source
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