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Cloud · head to head

Cerebrium vs Skopeo

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Rated
-
Full reviewWebsite
Skopeo logo

Skopeo

Cloud

Inspect, copy and sign container images without pulling them

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; Skopeo single-purpose: it neither builds nor runs images, so it is one tool in a chain rather than a solution
  • They diverge on capability: Cerebrium covers Ultra-fast cold starts, Skopeo covers Remote inspection.

Where they differ

Only the attributes on which Cerebrium and Skopeo actually diverge.

Attributes where Cerebrium and Skopeo differ
AttributeCerebriumSkopeo
Pricing modelFreemium with monthly plans and per-second compute chargesOpen source, no licence fee
PlatformsCloud, DockerLinux, macOS

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 Skopeo

  • Remote inspection
  • Registry-to-registry copy
  • Format conversion
  • Image signing

What people use each for

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

Cerebrium

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

Skopeo

  • Promoting images between staging and production registries without a round tripnot Cerebrium
  • Inspecting an image’s contents before deciding to deploy itnot Cerebrium
  • Mirroring images into an air-gapped or internal registrynot 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

Skopeo

  • Single-purpose: it neither builds nor runs images, so it is one tool in a chain rather than a solution
  • Command syntax with transport prefixes such as docker:// is unusual and trips people up initially
  • Documentation is sparse compared with the rest of the container ecosystem

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

Skopeo

Free
  • SkopeoFree
    • Full functionality
    • No usage limits
    • 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.
Cerebrium review

Choose Skopeo if

  • You need remote inspection.
  • You want to start without paying.
  • You work on Linux, macOS.
  • You also want registry-to-registry copy.
Skopeo review

Questions people ask

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

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
Skopeo: Is Skopeo free?

Yes, open source with no licence fee.

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
Skopeo: Why copy images without pulling them?

A registry-to-registry copy avoids downloading and re-uploading gigabytes, which is faster and much cheaper on bandwidth in CI.

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
Skopeo: Can Skopeo run containers?

No. It only inspects, copies, signs and deletes images. Running them is Podman’s or Docker’s job.

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