Cloud · head to head
Cerebrium vs Vagrant

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; Vagrant vagrant 2.4.3 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, Vagrant covers Box management.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Cerebrium and Vagrant 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 Vagrant
- Box management
- Provider support
- Multi-machine setups
- Provisioners
- Networking
- Synced folders
- Snapshots
- Plugins
What people use each for
The jobs each tool is most often brought in to do.
Cerebrium
- Deploying voice agents and conversational AI applicationsnot Vagrant
- Video and image model serving with low latencynot Vagrant
- LLM inference and completion endpointsnot Vagrant
- Real-time embeddings and vector database operationsnot Vagrant
- Distributed model training with hyperparameter sweepsnot Vagrant
Vagrant
- Reproducible local development environments defined in a Vagrantfilenot Cerebrium
- Provisioning identical VMs across VirtualBox, VMware and Hyper-V for a teamnot Cerebrium
- Sandboxing multi-machine setups on a developer laptopnot 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
Vagrant
- Vagrant 2.4.3 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 Vagrant to third parties on a hosted or embedded basis in a paid product that competes with IBM's paid versions of Vagrant
- Each version converts to the MPL 2.0 Change License only four years after that version is first published
- Uses that fall outside the Additional Use Grant require a separately negotiated licence from the licensor
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
Vagrant
Free- Open SourceFree
- Development environment provisioning
- Multiple providers
- 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 Vagrant if
- You need box management.
- You want to start without paying.
- You work on Linux, Windows, Mac.
- You also want provider support.
Questions people ask
- Is Cerebrium or Vagrant better?
- Neither clearly leads. Cerebrium starts at Free and Vagrant at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Cerebrium or Vagrant?
- Cerebrium starts at Free and Vagrant at Free.
- Does Cerebrium or Vagrant run on more platforms?
- Cerebrium runs on Cloud, Docker. Vagrant 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 Vagrant is typically brought in for.
- What can Cerebrium do that Vagrant cannot?
- Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Vagrant covers Box management, Provider support, Multi-machine setups, Provisioners.
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.
SourceVagrant: Is Vagrant free to use?
Vagrant is a free, open-source command-line utility for managing virtual machine lifecycles.
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.
SourceVagrant: Does Vagrant offer a paid tier?
Vagrant itself is free. HashiCorp offers a HCP Vagrant Registry with a free tier for use with Vagrant.
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
Other head to heads
- Cerebrium vs Beam Cloud
- Cerebrium vs Lambda
- Cerebrium vs Anyscale
- Cerebrium vs Koyeb
- Cerebrium vs Deno Deploy
- Cerebrium vs Serverless Framework
- Cerebrium vs Lambda (AWS Serverless)
- Cerebrium vs Upstash
- Cerebrium vs Neon
- Cerebrium vs Fireworks AI
- Cerebrium vs Porter
- Cerebrium vs Fastly
- Cerebrium vs Flux
- Cerebrium vs Google Cloud Platform
- Cerebrium vs HAProxy
- Cerebrium vs IBM Cloud
- Cerebrium vs kind
- Cerebrium vs DigitalOcean
- Cerebrium vs AWS (Amazon Web Services)
- Cerebrium vs Grafana Cloud
- Cerebrium vs Pulumi
- Cerebrium vs Portworx
- Cerebrium vs Podman
- Cerebrium vs Caddy
- Cerebrium vs Rancher
- Cerebrium vs Infracost
- Cerebrium vs SST
- Cerebrium vs Tencent Cloud
- Cerebrium vs Terragrunt
- Cerebrium vs Thanos
- Cerebrium vs Zeabur
- Cerebrium vs Zipkin
- Vagrant vs Beam Cloud
- Vagrant vs Lambda
- Vagrant vs Anyscale
- Vagrant vs Koyeb
- Vagrant vs Deno Deploy
- Vagrant vs Serverless Framework
- Vagrant vs Lambda (AWS Serverless)
- Vagrant vs Upstash
- Vagrant vs Neon
- Vagrant vs Fireworks AI
- Vagrant vs Porter
- Vagrant vs Fastly
- Vagrant vs Flux
- Vagrant vs Google Cloud Platform
- Vagrant vs HAProxy
- Vagrant vs IBM Cloud
- Vagrant vs kind
- Vagrant vs DigitalOcean
- Vagrant vs AWS (Amazon Web Services)
- Vagrant vs Grafana Cloud
- Vagrant vs Pulumi
- Vagrant vs Portworx
- Vagrant vs Podman
- Vagrant vs Caddy
- Vagrant vs Rancher
- Vagrant vs Infracost
- Vagrant vs SST
- Vagrant vs Tencent Cloud
- Vagrant vs Terragrunt
- Vagrant vs Thanos
- Vagrant vs Zeabur
- Vagrant vs Zipkin

