AI · head to head
Banana vs Lambda

Lambda
Cloud
GPU supercomputers for AI training and inference at enterprise scale
- From
- On request
- Rated
- -
The short version
- Each has a real cost: Banana banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time; Lambda no free tier or trial, requiring immediate commitment for testing
- They diverge on capability: Banana covers GPU inference, Lambda covers Superclusters.
- Prices and features above were last checked on 30 August 2026.
Where they differ
Only the attributes on which Banana and Lambda actually diverge.
Identical on both: free tier (No), 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 Banana
- GPU inference
- Auto-scaling
- Docker deployment
- Low latency
- REST API
- Python SDK
- Cloud support
- Api support
Only in Lambda
- Superclusters
- 1-Click Clusters
- On-demand instances
- Liquid cooling
- InfiniBand networking
- Managed orchestration
- Co-engineering support
What people use each for
The jobs each tool is most often brought in to do.
Banana
- Historically, serverless GPU inference for machine learning modelsnot Lambda
- Migration reference for teams that ran models on Banana before the 2024 shutdownnot Lambda
Lambda
- Training foundation models at scale with dedicated GPU infrastructurenot Banana
- Large-scale inference serving on enterprise-grade hardwarenot Banana
- Multi-GPU distributed training with InfiniBand networkingnot Banana
- Single-tenant secure compute for regulated industriesnot Banana
- AI lab infrastructure for frontier model developmentnot Banana
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
Banana
- Banana shut down its serverless GPU infrastructure on 31 March 2024 at noon PST and told customers to migrate to another provider by that time
- The vendor's own sunset notice names limited runway, retention problems and GPU supply constraints as the reasons for closing
- The banana.dev site still displays pricing tiers, but every tier links to the sunset notice rather than to a purchase
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
Pricing, plan by plan
Banana
$1200/month- Team$1200/month
- 10 team members
- 5 projects
- 50 max parallel GPUs
- Enterprise$null/custom
- Custom seat limit
- Custom GPU configuration
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
Which should you pick?
Choose Banana if
- You need gpu inference.
- You work on Cloud, Api.
- You also want auto-scaling.
Choose Lambda if
- You need superclusters.
- You work on Cloud.
- You also want 1-click clusters.
Questions people ask
- Is Banana or Lambda better?
- Neither clearly leads. Banana starts at $1200/month and Lambda at On request, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Banana or Lambda?
- Banana starts at $1200/month and Lambda at On request.
- Does Banana or Lambda run on more platforms?
- Banana runs on Cloud, Api. Lambda runs on Cloud.
- What is Banana best used for?
- Banana is most often used for historically, serverless gpu inference for machine learning models, migration reference for teams that ran models on banana before the 2024 shutdown. Of those, historically, serverless gpu inference for machine learning models and migration reference for teams that ran models on banana before the 2024 shutdown are not what Lambda is typically brought in for.
- What can Banana do that Lambda cannot?
- Banana covers GPU inference, Auto-scaling, Docker deployment, Low latency. Lambda covers Superclusters, 1-Click Clusters, On-demand instances, Liquid cooling.
Answered from the vendors’ own pages
Banana: How much does Banana's Team plan cost?
The Team plan costs $1,200 per month plus the cost of compute resources at cost with zero markup applied.
SourceLambda: 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.
SourceBanana: What is the maximum team size on Banana's Team plan?
The Team plan includes 10 team members and supports a maximum of 5 projects with up to 50 parallel GPUs.
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.
SourceBanana: Does Banana offer an Enterprise plan with custom pricing?
Banana offers an Enterprise plan with custom pricing plus at-cost compute, including SAML SSO, automation API, and dedicated support.
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.
SourceRelated pages
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