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Lambda vs OpenEBS

Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
Rated
-
Full reviewWebsite
OpenEBS logo

OpenEBS

Cloud

Open source container-attached storage for Kubernetes

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only OpenEBS 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; OpenEBS there is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
  • They diverge on capability: Lambda covers Superclusters, OpenEBS covers Replicated engine.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Lambda and OpenEBS actually diverge.

Attributes where Lambda and OpenEBS differ
AttributeLambdaOpenEBS
Starting priceOn requestFree
Pricing modelPay-as-you-go hourly pricing with volume discounts for reserved capacityOpen source, no licence fee
Free tierNoYes
PlatformsCloudLinux
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 OpenEBS

  • Replicated engine
  • Local PV engines
  • Kubernetes-native management
  • Snapshots and clones
  • No licence fee
  • Hardware independence

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 OpenEBS
  • Large-scale inference serving on enterprise-grade hardwarenot OpenEBS
  • Multi-GPU distributed training with InfiniBand networkingnot OpenEBS
  • Single-tenant secure compute for regulated industriesnot OpenEBS
  • AI lab infrastructure for frontier model developmentnot OpenEBS

OpenEBS

  • Running Cassandra or Kafka on Kubernetes where the application already replicates and node-local volumes are sufficientnot Lambda
  • A platform team that needs persistent volumes on bare metal Kubernetes without a per node subscriptionnot Lambda
  • An edge or lab deployment where a commercial storage licence cannot be justifiednot Lambda
  • Replacing hostpath volumes with something that has snapshots and a Container Storage Interface drivernot 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

OpenEBS

  • There is no vendor on the other end of an incident unless you separately contract DataCore, so an outage at three in the morning is resolved by your own team and a public Slack channel.
  • The project has several storage engines with different maturity and different operational characteristics, and choosing the wrong one for your workload produces poor results that look like a product failure.
  • Documentation and upgrade guidance assume real Kubernetes storage knowledge, so teams without that expertise underestimate the operational load they are taking on.
  • Project governance shifted after DataCore acquired MayaData in 2021, which means the direction of a supposedly neutral project is influenced by one commercial sponsor.
  • Disaster recovery, cross-cluster replication and policy-driven data services are thinner than in the commercial alternatives, so organisations with those requirements end up building them or buying a product anyway.

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

OpenEBS

Free
  • OpenEBSFree
    • Apache 2.0 licensed
    • All storage engines included
    • No node or capacity limits

Which should you pick?

Choose Lambda if

  • You need superclusters.
  • You work on Cloud.
  • You also want 1-click clusters.
Lambda review

Choose OpenEBS if

  • You need replicated engine.
  • You want to start without paying.
  • You work on Linux.
  • You also want local pv engines.
OpenEBS review

Questions people ask

Is Lambda or OpenEBS better?
Neither clearly leads. Lambda starts at On request and OpenEBS at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda or OpenEBS?
OpenEBS has a free tier; the other does not. Paid plans start at On request for Lambda and Free for OpenEBS.
Does Lambda or OpenEBS run on more platforms?
Lambda runs on Cloud. OpenEBS runs on Linux.
Can I use OpenEBS for free?
Yes. OpenEBS 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 OpenEBS is typically brought in for.
What can Lambda do that OpenEBS cannot?
Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. OpenEBS covers Replicated engine, Local PV engines, Kubernetes-native management, Snapshots and clones.

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
OpenEBS: Who supports it in production?

The project is community supported. Commercial support is available from DataCore, which acquired the original sponsor MayaData in 2021. Establish that relationship before production, not during an incident.

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
OpenEBS: Which engine should we use?

If your application replicates its own data, use a Local engine and avoid replicating twice. If it does not, such as with PostgreSQL, use the Replicated engine.

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
OpenEBS: Does it cost anything?

No licence fee. The cost is operational, and a support contract if you want someone accountable.

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