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Cloud · head to head

Cerebrium vs Serverless Framework

Cerebrium logo

Cerebrium

Cloud

Serverless GPU infrastructure for real-time AI inference and applications

From
Free
Rated
-
Full reviewWebsite
Serverless Framework logo

Serverless Framework

Cloud

Build and deploy serverless applications on AWS Lambda

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; Serverless Framework exclusive to AWS Lambda - no support for other cloud providers
  • They diverge on capability: Cerebrium covers Ultra-fast cold starts, Serverless Framework covers YAML configuration.

Where they differ

Only the attributes on which Cerebrium and Serverless Framework actually diverge.

Attributes where Cerebrium and Serverless Framework differ
AttributeCerebriumServerless Framework
Pricing modelFreemium with monthly plans and per-second compute chargesUnknown
PlatformsCloud, DockerAWS Lambda, AWS API Gateway, AWS CloudFormation

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 Serverless Framework

  • YAML configuration
  • Single command deployment
  • Extensible plugin ecosystem
  • Multi-language support
  • Unified dashboard
  • Built-in metrics and alerts

What people use each for

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

Cerebrium

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

Serverless Framework

  • Deploying APIs and microservices to AWS Lambdanot Cerebrium
  • Building event-driven applications with serverless functionsnot Cerebrium
  • Managing multi-language serverless projectsnot 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

Serverless Framework

  • Exclusive to AWS Lambda - no support for other cloud providers
  • Paid tier requires credit system that can be confusing for budgeting
  • Plugin ecosystem quality varies significantly

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

Serverless Framework

Free
  • FreeFree
    • For organizations with under $2M annual revenue
    • All Framework features included
  • Pay-As-You-Go$4/credit
    • 1 credit = 1 Service Instance or 50K Traces or 4M Metrics
    • Standard rate for larger organizations
  • Reserved Credits$1/credit
    • Discounts up to 74% off (1-year), 77% off (2-year), 80% off (3-year)
    • Additional 10% off for upfront payment

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 Serverless Framework if

  • You need yaml configuration.
  • You want to start without paying.
  • You work on AWS Lambda, AWS API Gateway, AWS CloudFormation.
  • You also want single command deployment.
Serverless Framework review

Questions people ask

Is Cerebrium or Serverless Framework better?
Neither clearly leads. Cerebrium starts at Free and Serverless Framework at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Cerebrium or Serverless Framework?
Cerebrium starts at Free and Serverless Framework at Free.
Does Cerebrium or Serverless Framework run on more platforms?
Cerebrium runs on Cloud, Docker. Serverless Framework runs on AWS Lambda, AWS API Gateway, AWS CloudFormation.
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 Serverless Framework is typically brought in for.
What can Cerebrium do that Serverless Framework cannot?
Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover. Serverless Framework covers YAML configuration, Single command deployment, Extensible plugin ecosystem, Multi-language support.

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
Serverless Framework: When do I have to pay for Serverless Framework?

The Serverless Framework CLI v4+ is free for organizations earning under $2 million annually. Organizations earning more must purchase credits at $4 per credit standard rate or reserved credits starting at $1 per credit with volume discounts.

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
Serverless Framework: What cloud providers does Serverless Framework support?

Serverless Framework is exclusive to AWS Lambda. It does not support other cloud providers like Azure or Google 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
Serverless Framework: What does one credit cover?

One credit equals 1 Service Instance, 50,000 Traces, or 4 Million Metrics.

Source
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