Softwr

Cloud · head to head

Lambda vs Qovery

Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
Rated
-
Qovery logo

Qovery

Cloud

Deployment platform that provisions and operates Kubernetes inside your own cloud account

From
On request
Rated
-

The short version

  • Each has a real cost: Lambda no free tier or trial, requiring immediate commitment for testing; Qovery no plan publishes a price, deployment minute overage rates are not disclosed, and there is a 14 day trial rather than a free tier, so you cannot budget or compare against alternatives without going through sales.
  • They diverge on capability: Lambda covers Superclusters, Qovery covers Bring your own cloud.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Lambda and Qovery actually diverge.

Attributes where Lambda and Qovery differ
AttributeLambdaQovery
Pricing modelPay-as-you-go hourly pricing with volume discounts for reserved capacityquote
PlatformsCloudWeb, CLI, REST API, Kubernetes
Founded2012Unknown

Identical on both: starting price (On request), free tier (No), 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 Qovery

  • Bring your own cloud
  • Preview environments
  • Cluster lifecycle
  • Terraform provider
  • MCP server
  • Policy as code

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

Qovery

  • A regulated business that must keep application data inside its own AWS account but has nobody to build a deployment platformnot Lambda
  • Giving twenty engineers preview environments per pull request without writing and maintaining Terraform and Helm by handnot Lambda
  • Standardising deployment across AWS and GCP when acquisitions have left the organisation on two cloudsnot Lambda
  • Replacing a managed platform when data residency rules put every hosted option out of reachnot 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

Qovery

  • No plan publishes a price, deployment minute overage rates are not disclosed, and there is a 14 day trial rather than a free tier, so you cannot budget or compare against alternatives without going through sales.
  • The GPL-3.0 engine and console do not constitute a self-hostable product, because the control plane and API are closed and the self-hosted option is gated behind Enterprise, so the open licence gives you no exit if the company changes direction.
  • Qovery provisions managed Kubernetes into your account, which means the cloud bill sits on top of the licence and Qovery initiates control plane and ingress controller upgrades on infrastructure your team is accountable for.
  • The company repositioned to agentic infrastructure in June 2026 and now ships a deployment platform, a browser development portal and autonomous coding agents concurrently, so a buyer of the deployment product is not at the centre of the roadmap.
  • Team and Business are capped at two and three connected clusters with fixed 4 vCPU CI runners and no single sign-on on Team, which pushes teams of moderate size onto quoted Enterprise pricing earlier than the plan names imply.

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

Qovery

On request
  • Team$undefined/year
    • Billed on usage with no published rate card
    • 10 users, up to 100 environments, 2 connected clusters
    • 5,000 deployment minutes and 7 day audit logs
  • Business$undefined/year
    • Billed on usage with no published rate card
    • 20 users, up to 250 environments, 3 connected clusters
    • 10,000 deployment minutes and 30 day audit logs
  • Enterprise$undefined/year
    • Custom users, environments and clusters
    • Self-hosted or air-gapped control plane
    • On-premises and bring-your-own-Kubernetes

Which should you pick?

Choose Lambda if

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

Choose Qovery if

  • You need bring your own cloud.
  • You work on Web, CLI, REST API, Kubernetes.
  • You also want preview environments.

Questions people ask

Is Lambda or Qovery better?
Neither clearly leads. Lambda starts at On request and Qovery at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda or Qovery?
Lambda starts at On request and Qovery at On request.
Does Lambda or Qovery run on more platforms?
Lambda runs on Cloud. Qovery runs on Web, CLI, REST API, Kubernetes.
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 Qovery is typically brought in for.
What can Lambda do that Qovery cannot?
Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Qovery covers Bring your own cloud, Preview environments, Cluster lifecycle, Terraform provider.

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
Qovery: Does Qovery run my applications on its own servers?

No. It provisions and operates Kubernetes inside your AWS, GCP, Azure or Scaleway account, so compute and data stay with your cloud provider and that bill is entirely separate from the Qovery licence.

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
Qovery: Can I self-host Qovery?

Only on Enterprise. The deployment engine and console are GPL-3.0, but the control plane is closed source and the self-hosted and air-gapped deployments are commercial Enterprise features.

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
Qovery: What does it cost?

Qovery does not publish a rate card. Team and Business are billed on usage and quoted through sales, and Enterprise is fully custom. There is a 14 day trial with no card required.

Qovery: What survives if I stop paying?

The Kubernetes cluster and the workloads keep running in your cloud account, but you lose the console, the deployment pipeline, preview environments and every process built on top of them.

Share

Related pages

Other head to heads