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Cloud · head to head

Cerebrium vs Coolify

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Rated
-
Full reviewWebsite
Coolify logo

Coolify

Cloud

Open source self-hosted platform that deploys applications and databases to servers you already own

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Coolify commit history since June 2026 shows one maintainer at 73 commits and a second at 15 with nobody else above one, and the same two people also ship four other coolLabs products, so the project depends on a very small number of individuals.
  • They diverge on capability: Cerebrium covers Ultra-fast cold starts, Coolify covers Git push deployments.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Cerebrium and Coolify actually diverge.

Attributes where Cerebrium and Coolify differ
AttributeCerebriumCoolify
Pricing modelFreemium with monthly plans and per-second compute chargesOpen source, no licence fee
PlatformsCloud, DockerWeb, Linux, Docker, Self-hosted

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 Coolify

  • Git push deployments
  • One-click services
  • Automatic certificates
  • Managed databases
  • Docker Compose support
  • Notifications

What people use each for

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

Cerebrium

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

Coolify

  • Replacing a managed platform bill with a single Hetzner or DigitalOcean instance running a dozen small applicationsnot Cerebrium
  • An agency hosting many low-traffic client sites on shared servers with certificates handled automaticallynot Cerebrium
  • Self-hosting analytics, databases and internal tools from the one-click catalogue without writing Compose filesnot Cerebrium
  • Deploying inside a country or jurisdiction where no managed platform operates a regionnot 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

Coolify

  • Commit history since June 2026 shows one maintainer at 73 commits and a second at 15 with nobody else above one, and the same two people also ship four other coolLabs products, so the project depends on a very small number of individuals.
  • Multi-server support is documented as experimental, load balancer configuration is manual, every server must share the same CPU architecture, and moving images between hosts requires you to run your own Docker registry.
  • In self-hosted mode the Coolify machine holds every SSH key and secret with no documented high availability, so the dashboard host is a single point of failure that the paid Cloud tier fixes and self-hosting does not.
  • Scheduled S3 backups cover PostgreSQL, MySQL, MariaDB and MongoDB only, so application persistent volumes are your responsibility and a restore is untested unless you test it yourself.
  • Release cadence is fast enough that six patch versions shipped inside ten days in August 2026 against several hundred open issues, and because instances can update themselves a regression can reach a production host before you have read the changelog.

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

Coolify

Free
  • Self-hostedFree
    • Apache-2.0, no features held back
    • Unlimited servers, applications and users
    • You run, update and back up the dashboard yourself
  • Cloud$5/month
    • Connects 2 servers, then 3 US dollars a month per extra server
    • Managed and updated Coolify dashboard with high availability
    • Managed backups of the Coolify instance itself

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 Coolify if

  • You need git push deployments.
  • You want to start without paying.
  • You work on Web, Linux, Docker, Self-hosted.
  • You also want one-click services.
Coolify review

Questions people ask

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

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
Coolify: Is anything held back for the paid tier?

No. Coolify Cloud hosts, updates and backs up the dashboard and gives it high availability. Every feature that touches your applications is in the Apache-2.0 build you can run yourself.

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
Coolify: What does Coolify Cloud cost?

Five US dollars a month connects two servers, and each additional server is three dollars a month, with 20 per cent off for annual billing. You still supply and pay for the servers themselves.

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
Coolify: Does it back up my application data?

It backs up PostgreSQL, MySQL, MariaDB and MongoDB to S3 on a schedule. Application persistent volumes are not covered, so anything stored outside a managed database needs your own backup plan.

Coolify: Can I run it across several servers?

Yes, but the documentation calls multi-server experimental. Load balancing is not configured for you, all nodes must share a CPU architecture, and you need to run your own Docker registry.

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