Software · head to head
Banana vs CoreWeave
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; CoreWeave gPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
- They diverge on capability: Banana covers GPU inference, CoreWeave covers NVIDIA H100/A100.
Where they differ
Only the attributes on which Banana and CoreWeave actually diverge.
Identical on both: pricing model (usage-based), free tier (No), user rating (Not yet rated), category (Unknown).
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
- Api support
Only in CoreWeave
- NVIDIA H100/A100
- Kubernetes native
- High bandwidth
- Object storage
- Kubernetes
- Terraform
- Cloud APIs
Both cover
- Cloud 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 CoreWeave
- Migration reference for teams that ran models on Banana before the 2024 shutdownnot CoreWeave
CoreWeave
- Renting GPU compute for model training and inferencenot Banana
- Running large scale AI workloads without buying hardwarenot 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
CoreWeave
- GPU nodes are sold as full 8 GPU instances rather than single cards, so the entry cost for an H100 node is $49.24 an hour on demand
- Spot pricing is roughly 40% of on demand, at $19.71 an hour for the same H100 node, so predictable capacity carries a large premium
- The newest hardware carries no published price and requires contacting sales
- Discounts of up to 60% require committed usage agreements negotiated with sales
- Only the GH200 is offered as a single GPU instance
Pricing, plan by plan
Banana
$0.0005/per-second- Starter$0.0005/per-second
- A10G GPU
- Basic support
- ScaleFree
- Volume discounts
- Dedicated support
CoreWeave
$0.35/per-hour- Standard$0.35/per-hour
- Various GPU types
- Kubernetes
- EnterpriseFree
- Dedicated clusters
- Custom solutions
Which should you pick?
Choose Banana if
- You need gpu inference.
- You work on Cloud, Api.
- You also want auto-scaling.
Choose CoreWeave if
- You need nvidia h100/a100.
- You work on Cloud.
- You also want kubernetes native.
Questions people ask
- Is Banana or CoreWeave better?
- Neither clearly leads. Banana starts at $0.0005/per-second and CoreWeave at $0.35/per-hour, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, Banana or CoreWeave?
- Banana starts at $0.0005/per-second and CoreWeave at $0.35/per-hour.
- Does Banana or CoreWeave run on more platforms?
- Banana runs on Cloud, Api. CoreWeave 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 CoreWeave is typically brought in for.
- What can Banana do that CoreWeave cannot?
- Banana covers GPU inference, Auto-scaling, Docker deployment, Low latency. CoreWeave covers NVIDIA H100/A100, Kubernetes native, High bandwidth, Object storage. Both handle Cloud support.