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Lambda vs Jaeger

Lambda logo

Lambda

Cloud

GPU supercomputers for AI training and inference at enterprise scale

From
On request
Rated
-
Full reviewWebsite
Jaeger logo

Jaeger

Cloud

Open-source end-to-end distributed tracing

From
Free
Rated
-
Full reviewWebsite

The short version

  • Only Jaeger 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; Jaeger tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
  • They diverge on capability: Lambda covers Superclusters, Jaeger covers Distributed trace search.

Where they differ

Only the attributes on which Lambda and Jaeger actually diverge.

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

  • Distributed trace search
  • Dependency graph
  • Adaptive sampling
  • Pluggable storage

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

Jaeger

  • Finding which service in a request path causes the latencynot Lambda
  • Understanding real service dependencies rather than the diagram on the wikinot Lambda
  • Debugging failures that only appear under production traffic patternsnot 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

Jaeger

  • Tracing is only as good as the instrumentation, and partial instrumentation produces misleading gaps
  • Storage is the real operational cost: high-volume tracing on Elasticsearch or Cassandra is a cluster to run and pay for
  • Traces alone, without correlated metrics and logs, leave you switching between tools during an incident

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

Jaeger

Free
  • JaegerFree
    • Full functionality
    • No usage limits
    • Community support

Which should you pick?

Choose Lambda if

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

Choose Jaeger if

  • You need distributed trace search.
  • You want to start without paying.
  • You work on Linux, Kubernetes, Docker.
  • You also want dependency graph.
Jaeger review

Questions people ask

Is Lambda or Jaeger better?
Neither clearly leads. Lambda starts at On request and Jaeger at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Lambda or Jaeger?
Jaeger has a free tier; the other does not. Paid plans start at On request for Lambda and Free for Jaeger.
Does Lambda or Jaeger run on more platforms?
Lambda runs on Cloud. Jaeger runs on Linux, Kubernetes, Docker.
Can I use Jaeger for free?
Yes. Jaeger 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 Jaeger is typically brought in for.
What can Lambda do that Jaeger cannot?
Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Jaeger covers Distributed trace search, Dependency graph, Adaptive sampling, Pluggable storage.

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
Jaeger: Is Jaeger free?

Yes, open source and CNCF-graduated. Costs are the storage backend you run.

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
Jaeger: Do I use Jaeger or OpenTelemetry?

Both, usually. Instrument with OpenTelemetry and use Jaeger to store and query the traces.

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
Jaeger: Does Jaeger handle metrics and logs?

No. It is a tracing system. Metrics and logs need Prometheus, Loki or an equivalent.

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