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Cloud · head to head

Cerebrium vs Vultr

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Rated
-
Full reviewWebsite
Vultr logo

Vultr

Cloud

High performance cloud compute

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; Vultr vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan
  • They diverge on capability: Cerebrium covers Ultra-fast cold starts, Vultr covers Cloud servers.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Cerebrium and Vultr actually diverge.

Attributes where Cerebrium and Vultr differ
AttributeCerebriumVultr
Pricing modelFreemium with monthly plans and per-second compute chargesusage-based
PlatformsCloud, DockerWeb, Api, Cli
FoundedUnknown2014

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 Vultr

  • Cloud servers
  • Bare metal servers
  • Block storage
  • Object storage
  • Load balancers
  • Kubernetes
  • Firewalls
  • Private networks

What people use each for

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

Cerebrium

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

Vultr

  • High performance computingnot Cerebrium
  • Game serversnot Cerebrium
  • Streamingnot Cerebrium
  • Database hostingnot Cerebrium
  • Application serversnot 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

Vultr

  • Vultr Cloud Compute pricing as captured 31 December 2022 started at $5/month (1 vCPU, 1GB RAM, 25GB storage, 1TB transfer), scaling to $10/month and $20/month with more vCPU/RAM/storage; bandwidth overage billed at $0.01 to $0.05 per GB depending on plan

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

Vultr

Free
  • Cloud Compute$2.5/month
    • 512MB RAM
    • 10GB SSD
    • 500GB bandwidth
  • Bare Metal$32/month
    • Dedicated hardware
    • High performance
    • Full root access

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 Vultr if

  • You need cloud servers.
  • You want to start without paying.
  • You work on Web, Api, Cli.
  • You also want bare metal servers.
Vultr review

Questions people ask

Is Cerebrium or Vultr better?
Neither clearly leads. Cerebrium starts at Free and Vultr at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cerebrium or Vultr?
Cerebrium starts at Free and Vultr at Free.
Does Cerebrium or Vultr run on more platforms?
Cerebrium runs on Cloud, Docker. Vultr runs on Web, Api, Cli.
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 Vultr is typically brought in for.
What can Cerebrium do that Vultr cannot?
Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Vultr covers Cloud servers, Bare metal servers, Block storage, Object storage.

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
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
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
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