Cloud · head to head
Lambda vs Zeabur

Lambda
Cloud
GPU supercomputers for AI training and inference at enterprise scale
- From
- On request
- Rated
- -
The short version
- Only Zeabur 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; Zeabur free plan limited to single server with 48-hour log retention
- They diverge on capability: Lambda covers Superclusters, Zeabur covers AI Agent.
- Prices and features above were last checked on 29 August 2026.
Where they differ
Only the attributes on which Lambda and Zeabur 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 Zeabur
- AI Agent
- Managed Servers
- Domain and DNS Management
- Email Service
- AI Hub
- Deploy Templates
- Git Integration
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 Zeabur
- Large-scale inference serving on enterprise-grade hardwarenot Zeabur
- Multi-GPU distributed training with InfiniBand networkingnot Zeabur
- Single-tenant secure compute for regulated industriesnot Zeabur
- AI lab infrastructure for frontier model developmentnot Zeabur
Zeabur
- Deploying full-stack web applications without DevOps expertisenot Lambda
- Building AI agent infrastructure with integrated API accessnot Lambda
- Managing multi-region deployments with automated scalingnot Lambda
- Running containerized services with built-in domain and emailnot 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
Zeabur
- Free plan limited to single server with 48-hour log retention
- Small team size may limit support and feature velocity
- Building spec upgrades limited on lower tiers
- Enterprise support not clearly documented
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
Zeabur
Free- FreeFree
- 1 manageable server
- 2C4G build specs
- 48-hour log retention
- Dev$5/month
- 3 manageable servers
- 7-day log retention
- 250 MB file uploads
- Pro$19/month
- 10 manageable servers
- 4C8G build specs
- 30-day log retention
- Team$79/month
- 3 included seats
- Unlimited manageable servers
- 90-day log retention
Which should you pick?
Choose Lambda if
- You need superclusters.
- You work on Cloud.
- You also want 1-click clusters.
Choose Zeabur if
- You need ai agent.
- You want to start without paying.
- You work on Web, CLI.
- You also want managed servers.
Questions people ask
- Is Lambda or Zeabur better?
- Neither clearly leads. Lambda starts at On request and Zeabur at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Lambda or Zeabur?
- Zeabur has a free tier; the other does not. Paid plans start at On request for Lambda and Free for Zeabur.
- Does Lambda or Zeabur run on more platforms?
- Lambda runs on Cloud. Zeabur runs on Web, CLI.
- Can I use Zeabur for free?
- Yes. Zeabur 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 Zeabur is typically brought in for.
- What can Lambda do that Zeabur cannot?
- Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling. Zeabur covers AI Agent, Managed Servers, Domain and DNS Management, Email Service.
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.
SourceZeabur: What is included in the free plan?
The free plan includes 1 manageable server, 2C4G build specifications, 48-hour log retention, 50 MB file upload limit, and community support.
SourceLambda: 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.
SourceZeabur: How do additional seats work on the Team plan?
The Team plan includes 3 seats with additional seats available at $24 per seat per month.
SourceLambda: 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.
SourceZeabur: Is there a free trial period?
The Dev and Pro plans include 14 days free before billing begins.
SourceRelated pages
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