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Cloud · head to head

Lambda vs Cerebrium

Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
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

  • Only Cerebrium has a free tier, so it costs nothing to try first.
  • Each has a real cost: Lambda no free tier or trial, requiring immediate commitment for testing; Cerebrium free Hobby tier limited to 3 apps and 5 GPU concurrency
  • They diverge on capability: Lambda covers Superclusters, Cerebrium covers Ultra-fast cold starts.

Where they differ

Only the attributes on which Lambda and Cerebrium actually diverge.

Attributes where Lambda and Cerebrium differ
AttributeLambdaCerebrium
Starting priceOn requestFree
Pricing modelPay-as-you-go hourly pricing with volume discounts for reserved capacityFreemium with monthly plans and per-second compute charges
Free tierNoYes
PlatformsCloudCloud, Docker
Founded2012Unknown

Identical on both: 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 Lambda

  • Superclusters
  • 1-Click Clusters
  • On-demand instances
  • Liquid cooling
  • InfiniBand networking
  • Managed orchestration
  • Co-engineering support

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.

Lambda

  • Training foundation models at scale with dedicated GPU infrastructurenot Cerebrium
  • Large-scale inference serving on enterprise-grade hardwarenot Cerebrium
  • Multi-GPU distributed training with InfiniBand networkingnot Cerebrium
  • Single-tenant secure compute for regulated industriesnot Cerebrium
  • AI lab infrastructure for frontier model developmentnot Cerebrium

Cerebrium

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

Where each one falls short

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

Lambda

  • No free tier or trial, requiring immediate commitment for testing
  • Single-tenant Superclusters require custom pricing discussions
  • Pricing complexity across multiple GPU types and cluster sizes
  • Less suitable for experimentation or small teams with tight budgets

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

Lambda

On request
  • 1-Click Clusters B200$undefined/hourly
    • 16 GPUs: $9.86/GPU/hour
    • 256+ GPUs: $8.87/GPU/hour
    • 1-year+ reserved discounts available
  • 1-Click Clusters H100$undefined/hourly
    • 16 GPUs: $6.16/GPU/hour
    • 256+ GPUs: $5.54/GPU/hour
  • On-Demand Instances B200$undefined/hourly
    • SXM6: $6.69/GPU/hour
  • On-Demand Instances H100$undefined/hourly
    • SXM: $3.99/GPU/hour

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 Lambda if

  • You need superclusters.
  • You work on Cloud.
  • You also want 1-click clusters.
Lambda 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 Lambda or Cerebrium better?
Neither clearly leads. Lambda starts at On request and Cerebrium at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda or Cerebrium?
Cerebrium has a free tier; the other does not. Paid plans start at On request for Lambda and Free for Cerebrium.
Does Lambda or Cerebrium run on more platforms?
Lambda runs on Cloud. Cerebrium runs on Cloud, Docker.
Can I use Cerebrium for free?
Yes. Cerebrium has a free tier, so you can try it without paying. Lambda starts at On request.
What is Lambda best used for?
Lambda is most often used for training foundation models at scale with dedicated gpu infrastructure, large-scale inference serving on enterprise-grade hardware, multi-gpu distributed training with infiniband networking, single-tenant secure compute for regulated industries. Of those, training foundation models at scale with dedicated gpu infrastructure and large-scale inference serving on enterprise-grade hardware are not what Cerebrium is typically brought in for.
What can Lambda do that Cerebrium cannot?
Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Cerebrium covers Ultra-fast cold starts, Elastic scaling, Bring your own code, Multi-region failover.

Answered from the vendors’ own pages

Lambda: What makes Lambda's infrastructure different?

Lambda offers single-tenant Superclusters with exclusive GPU access, liquid cooling, and NVIDIA Quantum-2 InfiniBand networking. The company is 100% focused on AI infrastructure with co-engineering support from teams who built infrastructure for major AI labs.

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
Lambda: How does pricing work for large clusters?

1-Click Clusters pricing ranges from $5.54-$9.86 per GPU/hour depending on GPU type and cluster size, with volume discounts for 256+ GPUs. Reserved capacity is available at custom pricing for 1-year+ commitments.

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
Lambda: Which GPU types are available?

Lambda offers NVIDIA B200, H100, A100, and Tesla V100 GPUs. Individual instances range from V100 at $0.79/hour to B200 SXM6 at $6.69/hour. Newer models like Vera Rubin are available in Superclusters.

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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