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Cloud · head to head

AWS (Amazon Web Services) vs Cerebrium

AWS (Amazon Web Services) logo

AWS (Amazon Web Services)

Cloud

The leading cloud computing platform

From
Free
Rated
-
Full reviewWebsite
Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: AWS (Amazon Web Services) data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills; Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency
  • They diverge on capability: AWS (Amazon Web Services) covers EC2 - Virtual Servers, Cerebrium covers Ultra-fast cold starts.

Where they differ

Only the attributes on which AWS (Amazon Web Services) and Cerebrium actually diverge.

Attributes where AWS (Amazon Web Services) and Cerebrium differ
AttributeAWS (Amazon Web Services)Cerebrium
Pricing modelusage-basedFreemium with monthly plans and per-second compute charges
PlatformsWeb, Api, Cli, MobileCloud, Docker
Founded2006Unknown

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 AWS (Amazon Web Services)

  • EC2 - Virtual Servers
  • S3 - Object Storage
  • RDS - Managed Database
  • Lambda - Serverless Computing
  • CloudFront - CDN
  • VPC - Virtual Network
  • IAM - Access Management
  • CloudWatch - Monitoring

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

What people use each for

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

AWS (Amazon Web Services)

  • Web hostingnot Cerebrium
  • Data storagenot Cerebrium
  • Machine learningnot Cerebrium
  • Big data analyticsnot Cerebrium
  • Application developmentnot Cerebrium

Cerebrium

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

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

AWS (Amazon Web Services)

  • Data transfer in is free and data transfer out is charged, which is the standard source of unexpected bills
  • Discounts require one or three year Savings Plan commitments rather than being automatic
  • Every service is priced separately, so a working architecture has no single published cost
  • The free tier is a promotional allowance rather than an ongoing free plan

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

Pricing, plan by plan

AWS (Amazon Web Services)

Free
  • AWS Free TierFree
    • EC2 750 hours/month
    • 5GB S3 storage
    • 20GB data transfer
  • Pay-As-You-GoFree
    • No upfront payment
    • No long-term commitments
    • Pay only for what you use

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

Which should you pick?

Choose AWS (Amazon Web Services) if

  • You need ec2 - virtual servers.
  • You want to start without paying.
  • You work on Web, Api, Cli, Mobile.
  • You also want s3 - object storage.
AWS (Amazon Web Services) review

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

Questions people ask

Is AWS (Amazon Web Services) or Cerebrium better?
Neither clearly leads. AWS (Amazon Web Services) starts at Free and Cerebrium at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, AWS (Amazon Web Services) or Cerebrium?
AWS (Amazon Web Services) starts at Free and Cerebrium at Free.
Does AWS (Amazon Web Services) or Cerebrium run on more platforms?
AWS (Amazon Web Services) runs on Web, Api, Cli, Mobile. Cerebrium runs on Cloud, Docker.
Can I use AWS (Amazon Web Services) for free?
Both have a free tier, so you can try either at no cost before committing.
What is AWS (Amazon Web Services) best used for?
AWS (Amazon Web Services) is most often used for web hosting, data storage, machine learning, big data analytics. Of those, web hosting and data storage are not what Cerebrium is typically brought in for.
What can AWS (Amazon Web Services) do that Cerebrium cannot?
AWS (Amazon Web Services) covers EC2 - Virtual Servers, S3 - Object Storage, RDS - Managed Database, Lambda - Serverless Computing. Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover.

Answered from the vendors’ own pages

AWS (Amazon Web Services): What are AWS's payment options and pricing models?

AWS offers four pricing approaches: pay-as-you-go (you pay only for what you use), flat-rate plans combining multiple services into one monthly price without overages, Savings Plans offering discounts on compute and machine learning with 1- or 3-year commitments, and volume-based tiered pricing where costs decrease as usage increases.

Source
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
AWS (Amazon Web Services): Are there contracts, termination fees, or commitments required for AWS?

No long-term contracts are required for AWS services. No termination fees apply once you stop using the service. Savings Plans provide optional 1- or 3-year commitments with discounted hourly rates, but you can revert to pay-as-you-go pricing anytime.

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
AWS (Amazon Web Services): Does AWS offer a free tier?

AWS provides a free tier that offers hands-on experience with AWS products at no charge. The free tier allows new customers to try eligible services before committing to paid usage.

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
AWS (Amazon Web Services): How do I estimate my AWS costs?

AWS provides the AWS Pricing Calculator and Cost Explorer tool to estimate costs for single or multiple services. AWS also offers cost optimization recommendations, performance reporting, and budget alerts to help track and control spending.

Source
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