Cloud · head to head
Lambda vs Zipkin

Lambda
Cloud
GPU supercomputers for AI training and inference at enterprise scale
- From
- On request
- Rated
- -
The short version
- Only Zipkin 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; Zipkin less active development and smaller community momentum than Jaeger
- They diverge on capability: Lambda covers Superclusters, Zipkin covers Trace collection and search.
Where they differ
Only the attributes on which Lambda and Zipkin actually diverge.
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 Zipkin
- Trace collection and search
- Dependency diagram
- Simple deployment
- 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 Zipkin
- Large-scale inference serving on enterprise-grade hardwarenot Zipkin
- Multi-GPU distributed training with InfiniBand networkingnot Zipkin
- Single-tenant secure compute for regulated industriesnot Zipkin
- AI lab infrastructure for frontier model developmentnot Zipkin
Zipkin
- Adding distributed tracing quickly without standing up heavy infrastructurenot Lambda
- Java and Spring Boot estates, where instrumentation support is long-establishednot Lambda
- Small deployments where Jaeger is more than the problem requiresnot 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
Zipkin
- Less active development and smaller community momentum than Jaeger
- Fewer features: sampling, storage options and UI are all more limited
- The interface is dated and slower to work with on large trace volumes
- Tracing alone still leaves metrics and logs in separate 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
Zipkin
Free- ZipkinFree
- 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.
Choose Zipkin if
- You need trace collection and search.
- You want to start without paying.
- You work on Linux, Docker, Kubernetes, Self-hosted.
- You also want dependency diagram.
Questions people ask
- Is Lambda or Zipkin better?
- Neither clearly leads. Lambda starts at On request and Zipkin at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lambda or Zipkin?
- Zipkin has a free tier; the other does not. Paid plans start at On request for Lambda and Free for Zipkin.
- Does Lambda or Zipkin run on more platforms?
- Lambda runs on Cloud. Zipkin runs on Linux, Docker, Kubernetes, Self-hosted.
- Can I use Zipkin for free?
- Yes. Zipkin 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 Zipkin is typically brought in for.
- What can Lambda do that Zipkin cannot?
- Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Zipkin covers Trace collection and search, Dependency diagram, Simple deployment, 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.
SourceZipkin: Is Zipkin free?
Yes, open source with no licence fee.
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.
SourceZipkin: Zipkin or Jaeger?
Jaeger has more momentum, more features and CNCF backing. Zipkin is lighter and quicker to stand up, and remains well supported in the Java and Spring ecosystem.
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.
SourceZipkin: Does Zipkin work with OpenTelemetry?
Yes. OpenTelemetry can export to Zipkin, which is now the usual way to instrument for it.
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