Cloud · head to head
Cerebrium vs Packer

Cerebrium
Cloud
Serverless GPU infrastructure for real-time AI inference and applications
- From
- Free
- Rated
- -
The short version
- Each has a real cost: Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency; Packer packer 1.10.0 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
- They diverge on capability: Cerebrium covers Ultra-fast cold starts, Packer covers Image building.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Cerebrium and Packer actually diverge.
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 Packer
- Image building
- Multi-platform support
- Provisioners
- Builders
- Post-processors
- Variables
- Data sources
- Validation
What people use each for
The jobs each tool is most often brought in to do.
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Packer
- Video and image model serving with low latencynot Packer
- LLM inference and completion endpointsnot Packer
- Real-time embeddings and vector database operationsnot Packer
- Distributed model training with hyperparameter sweepsnot Packer
Packer
- Building identical machine images for multiple clouds from one templatenot Cerebrium
- Baking golden AMIs and VM images into a CI pipelinenot Cerebrium
- Creating immutable infrastructure artifacts consumed by Terraformnot 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
Packer
- Packer 1.10.0 and later is licensed under the Business Source License 1.1 with IBM Corporation as licensor, not an OSI open source licence
- The Additional Use Grant forbids offering Packer to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions of Packer
- Each version converts to the MPL 2.0 Change License only four years after that version is first published, and the Change Date is set separately per version
- Alternative licensing for uses outside the grant must be arranged with the licensor rather than taken under the public licence
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
Packer
Free- Open SourceFree
- Multi-platform image building
- Template-driven
- Provisioner 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 Packer if
- You need image building.
- You want to start without paying.
- You work on Linux, Windows, Mac.
- You also want multi-platform support.
Questions people ask
- Is Cerebrium or Packer better?
- Neither clearly leads. Cerebrium starts at Free and Packer at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cerebrium or Packer?
- Cerebrium starts at Free and Packer at Free.
- Does Cerebrium or Packer run on more platforms?
- Cerebrium runs on Cloud, Docker. Packer runs on Linux, Windows, Mac.
- 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 Packer is typically brought in for.
- What can Cerebrium do that Packer cannot?
- Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Packer covers Image building, Multi-platform support, Provisioners, Builders.
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.
SourcePacker: How much does HashiCorp Packer cost?
Packer does not publish specific pricing on its website. The open-source Packer tool is free, while HCP Packer (HashiCorp's cloud-hosted version) offers a free trial, but detailed pricing requires contacting HashiCorp.
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.
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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