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Cloud · head to head

Cerebrium vs IBM Cloud

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Rated
-
Full reviewWebsite
IBM Cloud logo

IBM Cloud

Cloud

Enterprise cloud solutions from a trusted partner

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; IBM Cloud the USD 200 starter cloud credit is valid for 30 days only
  • They diverge on capability: Cerebrium covers Ultra-fast cold starts, IBM Cloud covers Virtual Servers.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Cerebrium and IBM Cloud actually diverge.

Attributes where Cerebrium and IBM Cloud differ
AttributeCerebriumIBM Cloud
Pricing modelFreemium with monthly plans and per-second compute chargesusage-based
PlatformsCloud, DockerLinux, Windows, Api, Cli
FoundedUnknown2013

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 IBM Cloud

  • Virtual Servers
  • Bare Metal
  • Cloud Foundry
  • Kubernetes
  • Watson AI
  • Blockchain
  • Databases
  • API Gateway

What people use each for

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

Cerebrium

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

IBM Cloud

  • Running containerized and VM workloads on IBM's public cloudnot Cerebrium
  • Building on Watson APIs and IBM middleware as managed servicesnot 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

IBM Cloud

  • The USD 200 starter cloud credit is valid for 30 days only
  • The larger promotional credits are time boxed: USD 1,000 for Bare Metal Servers for VPC over 120 days, USD 2,500 for Power Virtual Server over 90 days, and USD 5,000 for Backup and Recovery over 90 days
  • The USD 5,000 Backup and Recovery promotion is valid for new clients only and requires a checkout promo code
  • The listed promotions carry an expiry date of 31 December 2026
  • Beyond the free tier the account is pay as you go, so cost tracks usage with no published cap

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

IBM Cloud

Free
  • Lite PlanFree
    • Free services
    • Limited resources
    • 30-day trial
  • Standard PlanFree
    • Pay-as-you-go
    • Enterprise support
    • Advanced services

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 IBM Cloud if

  • You need virtual servers.
  • You want to start without paying.
  • You work on Linux, Windows, Api, Cli.
  • You also want bare metal.
IBM Cloud review

Questions people ask

Is Cerebrium or IBM Cloud better?
Neither clearly leads. Cerebrium starts at Free and IBM Cloud at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cerebrium or IBM Cloud?
Cerebrium starts at Free and IBM Cloud at Free.
Does Cerebrium or IBM Cloud run on more platforms?
Cerebrium runs on Cloud, Docker. IBM Cloud runs on Linux, Windows, 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 IBM Cloud is typically brought in for.
What can Cerebrium do that IBM Cloud cannot?
Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. IBM Cloud covers Virtual Servers, Bare Metal, Cloud Foundry, Kubernetes.

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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