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Cloud · head to head

Lambda vs Okteto

Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
Free plan
No
Full reviewWebsite
Okteto logo

Okteto

Developer Tools

Runs production-like development environments on your own Kubernetes cluster

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Okteto 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; Okteto two of the three plans publish no price at all, with no currency and no billing period stated anywhere, so any budget above five seats requires a sales conversation before you can even compare it with an alternative.
  • They diverge on capability: Lambda covers Superclusters, Okteto covers Cluster development environments.
  • Prices and features above were last checked on 31 August 2026.

Where they differ

Only the attributes on which Lambda and Okteto actually diverge.

Attributes where Lambda and Okteto differ
AttributeLambdaOkteto
Starting priceOn requestFree
Pricing modelPay-as-you-go hourly pricing with volume discounts for reserved capacityquote
Free tierNoYes
PlatformsCloudLinux, macOS, Windows, CLI, Kubernetes, Web
CategoryCloudDeveloper Tools
Founded2012Unknown

Identical on both: user rating (Not yet rated).

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 Okteto

  • Cluster development environments
  • File synchronisation
  • Development containers
  • Environment catalogue
  • Preview environments
  • Bring your own cloud

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

Okteto

  • A microservices estate where no developer can run the full dependency graph on a laptopnot Lambda
  • Giving each pull request a working environment reviewers can click rather than describenot Lambda
  • Letting coding agents build and test against real databases and queues instead of mocksnot Lambda
  • Removing a fleet of local Kubernetes installations that drift from production and produce false test resultsnot 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

Okteto

  • Two of the three plans publish no price at all, with no currency and no billing period stated anywhere, so any budget above five seats requires a sales conversation before you can even compare it with an alternative.
  • The Apache-2.0 CLI is restricted to the development section of the manifest, so build services, user management and observability all require the commercial platform and the open licence provides very little continuity insurance.
  • The last disclosed funding round is a 15 million US dollar Series A from February 2022 with nothing announced since, and the contributor base is dominated by company employees, which is concentrated risk for something embedded in every developer daily loop.
  • You must bring and pay for the Kubernetes cluster, so node cost, capacity planning and version upgrades stay with your platform team on top of the licence fee.
  • The 2026 repositioning towards AI agents means the classic developer inner loop is no longer what the marketing leads with, so a buyer purchasing that use case should confirm roadmap commitment rather than assume it.

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

Okteto

Free
  • StarterFree
    • 5 seats included
    • Self-hosted deployment into your own cluster
    • Community support
  • Scale$undefined/year
    • Contact sales, no price, currency or billing period published
    • More seats and environments than Starter
    • Self-hosted deployment
  • Enterprise$undefined/year
    • Contact sales, no price published
    • Bring your own cloud deployment
    • Available through Google Cloud and AWS marketplaces

Which should you pick?

Choose Lambda if

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

Choose Okteto if

  • You need cluster development environments.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, CLI, Kubernetes, Web.
  • You also want file synchronisation.
Okteto review

Questions people ask

Is Lambda or Okteto better?
Neither clearly leads. Lambda starts at On request and Okteto at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda or Okteto?
Okteto has a free tier; the other does not. Paid plans start at On request for Lambda and Free for Okteto.
Does Lambda or Okteto run on more platforms?
Lambda runs on Cloud. Okteto runs on Linux, macOS, Windows, CLI, Kubernetes, Web.
Can I use Okteto for free?
Yes. Okteto 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 Okteto is typically brought in for.
What can Lambda do that Okteto cannot?
Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Okteto covers Cluster development environments, File synchronisation, Development containers, Environment catalogue.

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
Okteto: Is Okteto open source?

The CLI is Apache-2.0, but the README states it supports only the development section of the manifest. Everything operationally interesting, including builds, user management and observability, is in the commercial platform.

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
Okteto: What does it cost?

Only the free Starter tier with five seats is published. Scale and Enterprise are both contact sales, with no price, currency or billing period disclosed on the pricing page.

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
Okteto: Do I need my own Kubernetes cluster?

Yes. Okteto installs into a cluster you provide and pay for, so capacity, upgrades and node costs remain your responsibility in addition to the licence.

Okteto: How is this different from running Kubernetes locally?

Environments run against the same managed databases, queues and service mesh as production, so a class of failures that only appears in a real cluster is caught before merge rather than after deploy.

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