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Cloud · head to head

Lambda vs Spacelift

Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
Free plan
No
Visit LambdaFull review
Spacelift logo

Spacelift

Developer Tools

Infrastructure-as-code orchestration for Terraform, OpenTofu, Pulumi and Kubernetes

From
Free
Free plan
Yes
Visit SpaceliftFull review

The short version

  • Lambda is an AI-only GPU cloud provider.
  • Spacelift is free; Lambda prices on request.
  • Only Lambda lists 1-Click Clusters; only Spacelift lists policy as code.
  • Where Lambda falls short: no free tier or trial, requiring immediate commitment for testing.
  • Where Spacelift falls short: three of the five tiers are quote-only, so a shortlist cannot be costed without entering a sales process with each vendor on it.
  • Prices and features on this page were last checked on 31 August 2026.

Where they differ

Only the attributes on which Lambda and Spacelift actually diverge.

Attributes where Lambda and Spacelift differ
AttributeLambdaSpacelift
Starting priceOn requestFree
Pricing modelPay-as-you-go hourly pricing with volume discounts for reserved capacityBy private worker and tier, not by user
Free tierNoYes
PlatformsWebWeb, Self-hosted
CategoryCloudDeveloper Tools

Not yet recorded: founded for Spacelift.

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 Spacelift

  • Multi-tool orchestration
  • Policy as code
  • Private workers
  • Spaces
  • Blueprints
  • Drift detection

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

Spacelift

  • Platform teams running infrastructure changes through approval gates rather than through application CInot Lambda
  • Organisations standardising Terraform and OpenTofu across many teams with policy enforcementnot Lambda
  • Estates needing private runners so cloud credentials never leave the networknot Lambda
  • Teams wanting drift detection and reconciliation rather than plan-time checks alonenot 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

Spacelift

  • Users are unlimited and private workers are metered, so deployment concurrency rather than headcount drives the bill, which inverts how most engineering budgets are built and is easy to under-forecast
  • There is no affordable paid entry point. The free tier stops at two users and the next tier is a five-figure commitment with nothing in between
  • Three of the five tiers are quote-only, so a shortlist cannot be costed without entering a sales process with each vendor on it
  • The self-hosted build lags the hosted one, has no public worker pool and lacks the Azure and Google Cloud integrations available in the SaaS product, with OIDC federation offered as the workaround
  • Stacks, Rego policies, Blueprints, Spaces and Spacelift-managed state are proprietary constructs, so leaving means rebuilding the orchestration layer rather than pointing it at a different runner

Pricing, plan by plan

Lambda

On request
  • 1-Click Clusters B200On request
    • 16 GPUs: $9.86/GPU/hour
    • 256+ GPUs: $8.87/GPU/hour
    • 1-year+ reserved discounts available
  • 1-Click Clusters H100On request
    • 16 GPUs: $6.16/GPU/hour
    • 256+ GPUs: $5.54/GPU/hour
  • On-Demand Instances B200On request
    • SXM6: $6.69/GPU/hour
  • On-Demand Instances H100On request
    • SXM: $3.99/GPU/hour

Spacelift

Free
  • FreeFree
    • Two users
    • Public workers only
    • No private workers
  • Starter PlusOn request
    • Unlimited users
    • Two public workers
    • One to two private workers
  • BusinessOn request
    • Unlimited users
    • Three private workers
    • Quoted
  • EnterpriseOn request
    • Unlimited users
    • Five to thirty private workers
    • Self-hosted option

Which should you pick?

Choose Lambda if

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

Choose Spacelift if

  • You need multi-tool orchestration.
  • You want to start without paying.
  • You work on Web, Self-hosted.
  • You also want policy as code.
Spacelift review

Questions people ask

Is Lambda or Spacelift better?
Neither clearly leads. Lambda starts at On request and Spacelift at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda or Spacelift?
Spacelift has a free tier; the other does not. Paid plans start at On request for Lambda and Free for Spacelift.
Does Lambda or Spacelift run on more platforms?
Lambda runs on Web. Spacelift runs on Web, Self-hosted.
Can I use Spacelift for free?
Yes. Spacelift 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 Spacelift is typically brought in for.
What can Lambda do that Spacelift cannot?
Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Spacelift covers Multi-tool orchestration, Policy as code, Private workers, Spaces.

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
Spacelift: How is Spacelift priced?

By tier and by private worker count rather than per user. Users are unlimited on every paid plan. The published figure on the pricing page carries no period label, and the FAQ describes the tier as an annual subscription, so confirm the period in writing.

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
Spacelift: Does it support OpenTofu?

Yes, and Spacelift sponsors the OpenTofu project, which is a substantive hedge for anyone avoiding Terraform under the Business Source Licence.

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
Spacelift: Is there a self-hosted version?

Yes, described as carrying Enterprise functionality, but it is priced on request and lags the hosted product on cloud integrations.

Spacelift: Why not just use the CI system we already have?

That is the real comparison. General purpose CI handles state, drift, approval gates and concurrency control for infrastructure poorly, and whether that is worth a five-figure floor depends on how much infrastructure change your organisation actually ships.

Spacelift: What happens to our pipelines if we leave?

They do not port. Rego policies, Blueprints, Spaces and managed state are Spacelift constructs and the orchestration has to be rebuilt elsewhere.

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