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Cloud · head to head

Cerebrium vs Caddy

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Rated
-
Caddy logo

Caddy

Cloud

Web server with automatic HTTPS by default

From
Free
Rated
-

The short version

  • Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Caddy smaller ecosystem than Nginx, so third-party guides and modules are fewer
  • They diverge on capability: Cerebrium covers Ultra-fast cold starts, Caddy covers Automatic HTTPS.

Where they differ

Only the attributes on which Cerebrium and Caddy actually diverge.

Attributes where Cerebrium and Caddy differ
AttributeCerebriumCaddy
Pricing modelFreemium with monthly plans and per-second compute chargesOpen source, no licence fee
PlatformsCloud, DockerLinux, macOS, Windows, Docker

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 Caddy

  • Automatic HTTPS
  • Caddyfile
  • Reverse proxy
  • Single binary

What people use each for

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

Cerebrium

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

Caddy

  • Sites and services where expired certificates have caused outages beforenot Cerebrium
  • Small deployments where Nginx configuration is more effort than the problem warrantsnot Cerebrium
  • Reverse proxying internal services with TLS without a certificate workflownot 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

Caddy

  • Smaller ecosystem than Nginx, so third-party guides and modules are fewer
  • Adding plugins means rebuilding the binary rather than loading a module
  • Under very high throughput Nginx generally still benchmarks ahead
  • Automatic certificate issuance needs outbound internet access, which complicates air-gapped deployments

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

Caddy

Free
  • CaddyFree
    • Full functionality
    • Commercial use permitted
    • Community 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 Caddy if

  • You need automatic https.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker.
  • You also want caddyfile.

Questions people ask

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

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
Caddy: Is Caddy free?

Yes, open source under the Apache 2.0 licence, free for commercial use.

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
Caddy: What does automatic HTTPS mean?

Caddy obtains certificates from Let’s Encrypt or ZeroSSL on first request and renews them before expiry, with no cron job or configuration.

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
Caddy: Caddy or Nginx?

Caddy is dramatically simpler to configure and removes certificate management. Nginx has the larger ecosystem and better peak throughput.

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