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AI · head to head

Lambda Labs vs Seldon

Lambda Labs logo

Lambda Labs

AI

GPU cloud for deep learning

From
$1.1/per-hour
Free plan
No
Full reviewWebsite
Seldon logo

Seldon

Machine Learning

Kubernetes model serving whose current version is licensed under the Business Source Licence

From
Free
Free plan
Yes
Full reviewWebsite

The short version

  • Only Seldon has a free tier, so it costs nothing to try first.
  • Each has a real cost: Lambda Labs on demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed; Seldon seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • They diverge on capability: Lambda Labs covers NVIDIA GPUs, Seldon covers Kubernetes custom resources.
  • Prices and features above were last checked on 30 August 2026.

Where they differ

Only the attributes on which Lambda Labs and Seldon actually diverge.

Attributes where Lambda Labs and Seldon differ
AttributeLambda LabsSeldon
Starting price$1.1/per-hourFree
Pricing modelusage-basedfreemium
Free tierNoYes
PlatformsCloudLinux
CategoryAIMachine Learning
Founded20122014

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 Labs

  • NVIDIA GPUs
  • Pre-installed frameworks
  • Persistent storage
  • SSH access
  • JupyterLab
  • VSCode
  • SSH
  • Cloud support

Only in Seldon

  • Kubernetes custom resources
  • Inference graphs
  • Traffic strategies
  • Open Inference Protocol
  • Alibi Explain
  • Alibi Detect
  • Kafka-backed pipelines in v2
  • Commercial control plane

What people use each for

The jobs each tool is most often brought in to do.

Lambda Labs

  • Renting GPU instances for model training and inferencenot Seldon
  • Short term access to high memory accelerators without buying hardwarenot Seldon

Seldon

  • Serving an ensemble or a multi-stage inference path as one versioned deployment rather than as a chain of separate servicesnot Lambda Labs
  • Running genuine production experiments where a share of live traffic goes to a candidate model and the results are comparednot Lambda Labs
  • Regulated environments needing explanations and drift monitoring attached to the served model rather than bolted on laternot Lambda Labs
  • Organisations with an established Kubernetes platform team who want serving expressed as manifests under existing deployment controlsnot Lambda Labs

Where each one falls short

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

Lambda Labs

  • On demand capacity is first come access rather than guaranteed, so an instance type can be unavailable when needed
  • H100 pricing varies within a band, at $3.99 to $4.29 an hour per GPU, so the rate is not fixed
  • Reserved capacity is arranged by contacting the team rather than self serve
  • Prices are quoted before applicable tax

Seldon

  • Seldon Core v2 is under the Business Source Licence rather than Apache 2.0, so production use requires a commercial agreement, and a team that evaluated it believing it was open source discovers the licence is the blocker exactly when the project is ready to ship.
  • Core v1 remains Apache 2.0 but is in maintenance, so taking the free route means running software that receives no new development while the architecture it belongs to moves on without it.
  • Version 2 is a different system rather than a newer release, with different custom resources, a scheduler component and a Kafka-based pipeline model, so migrating from v1 is a re-implementation of every deployment manifest rather than an upgrade.
  • Kafka is a dependency for v2 pipelines, so an organisation that does not already operate it takes on a distributed log with its own storage, retention, rebalancing and failure modes purely in order to serve models.
  • Everything assumes Kubernetes fluency and the failure modes are Kubernetes failure modes, custom resource version mismatches, an operator that will not reconcile, admission webhooks and resource limits terminating an inference pod mid-request, so it needs a platform engineer rather than a data scientist.

Pricing, plan by plan

Lambda Labs

$1.1/per-hour
  • On-Demand$1.1/per-hour
    • A10 GPU
    • Instant availability
  • ReservedFree
    • Volume discounts
    • Guaranteed capacity

Seldon

Free
  • Seldon CoreFree
    • Open source
    • Kubernetes deployment
    • Model serving
  • Seldon DeployFree
    • Enterprise features
    • GUI
    • Monitoring

Which should you pick?

Choose Lambda Labs if

  • You need nvidia gpus.
  • You work on Cloud.
  • You also want pre-installed frameworks.
Lambda Labs review

Choose Seldon if

  • You need kubernetes custom resources.
  • You want to start without paying.
  • You work on Linux.
  • You also want inference graphs.
Seldon review

Questions people ask

Is Lambda Labs or Seldon better?
Neither clearly leads. Lambda Labs starts at $1.1/per-hour and Seldon at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda Labs or Seldon?
Seldon has a free tier; the other does not. Paid plans start at $1.1/per-hour for Lambda Labs and Free for Seldon.
Does Lambda Labs or Seldon run on more platforms?
Lambda Labs runs on Cloud. Seldon runs on Linux.
Can I use Seldon for free?
Yes. Seldon has a free tier, so you can try it without paying. Lambda Labs starts at $1.1/per-hour.
What is Lambda Labs best used for?
Lambda Labs is most often used for renting gpu instances for model training and inference, short term access to high memory accelerators without buying hardware. Of those, renting gpu instances for model training and inference and short term access to high memory accelerators without buying hardware are not what Seldon is typically brought in for.
What can Lambda Labs do that Seldon cannot?
Lambda Labs covers NVIDIA GPUs, Pre-installed frameworks, Persistent storage, SSH access. Seldon covers Kubernetes custom resources, Inference graphs, Traffic strategies, Open Inference Protocol.

Answered from the vendors’ own pages

Lambda Labs: What does Lambda Labs GPU pricing depend on?

Lambda Labs pricing depends on the GPU model (H100, B200, A100, V100, etc.), cluster size, and contract length. For example, a 16-GPU H100 cluster costs $6.16/GPU/hour for 2 weeks to 1 year, while A100 GPUs are $1.99-$2.79/GPU/hour.

Source
Seldon: Is Seldon open source?

Partly, and this is the thing to check before you build on it. Core v1 is Apache 2.0 but in maintenance. Core v2 was moved to the Business Source Licence in 2024, which allows evaluation but not unlicensed production use. Verify the current licence of each component you intend to run, including MLServer and the Alibi libraries.

Lambda Labs: Are there volume discounts for larger GPU clusters?

Yes. Pricing decreases with larger cluster orders. For example, NVIDIA H100 clusters cost $6.16/GPU/hour for 16 GPUs, $5.85/GPU/hour for 64 GPUs, and $5.54/GPU/hour for 256 GPUs (all for 2 weeks to 1 year terms).

Source
Seldon: What is the difference between v1 and v2?

Architecture, not just version number. v2 introduces a scheduler, a different set of custom resources and Kafka-backed pipelines. Manifests, mental model and operations all change, so treat a move as a project.

Lambda Labs: Can I get custom pricing for a long-term GPU contract?

Yes. For cluster orders of 16+ GPUs with 1-year or longer contracts, Lambda Labs offers custom pricing. Contact their sales team to request a quote.

Source
Seldon: Do I need Kubernetes?

Yes. It is a Kubernetes-native system and there is no meaningful deployment without a cluster and someone competent to run it.

Lambda Labs: What additional costs should I expect beyond the hourly GPU rate?

All listed prices are plus applicable sales tax, VAT, or GST depending on your location.

Source
Seldon: What is MLServer?

Seldon's Python inference server implementing the Open Inference Protocol, usable inside Seldon deployments or on its own. Check its current licence alongside Core's, since the company has moved projects onto the Business Source Licence.

Seldon: Do I have to run Kafka?

For v2 pipelines, yes. If you only need single models served, that dependency is a large amount of infrastructure for the benefit, and a simpler serving layer may be the better answer.

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