CoreWeave vs Banana
A detailed comparison to help you choose between CoreWeave and Banana.
Quick Verdict
3.6/5
CoreWeave
0 reviews
1.2/5
Banana
0 reviews
CoreWeave is rated higher (3.6 vs 1.2). CoreWeave is a purpose-built GPU cloud for AI — 40,000+ NVIDIA GPUs including H100, A100, and RTX. Used by OpenAI, Mistral, and Cohere. Kubernetes-native and connected to NVIDIA. Banana was an ML inference hosting platform (Docker-based, Potassium framework). The service shut down permanently on March 31, 2024; do not purchase. Alternatives: Replicate, Modal, RunPod, Beam, Baseten.
CoreWeave Purpose-built cloud for AI and GPU workloads | Banana DEFUNCT — serverless GPU inference platform sunset Feb 2024, shut down March 31, 2024 | |
|---|---|---|
| Overview | ||
| Rating | 3.6 (0 reviews)✓ | 1.2 (0 reviews) |
| Pricing model | usage-based | usage-based (historical; shut down 2024-03-31) |
| Starting price | Free tier available | From $2024/mo |
| Best for | AI labs and ML teams running sustained training or high-throughput inference where dedicated GPUs, NVLink/InfiniBand and a real uptime SLA justify premium pricing | Nobody — the platform shut down on March 31, 2024. Use Replicate, Modal, RunPod, Beam, or Baseten for serverless GPU inference. |
| Features | ||
| IPv6 | ||
| DDoS protection | ||
| Automated backups | ||
| Snapshots | ||
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ||
| Data-center locations | ||
| Regions | 50+ data centers across the United States and Europe | — |
| Tags | ||
| Tags | hourly billinggpu availableus datacenterapi accesskubernetes support | gpu availableus datacenterapi access |
| Visit CoreWeave → | Visit Banana → | |
CoreWeave
Pros
- + Published public pricing for the main GPU lines — H100 node $49.24/hr on-demand, $19.71/hr spot — which is more transparency than most GPU clouds offer
- + Broad NVIDIA catalog (L40 to GB300 NVL72) with managed Kubernetes and Slurm control planes included and InfiniBand at up to 3,200 Gbps
- + Contractual reliability: 99.9% cross-region SLA (99% single region) with service credits, plus SOC 2 and ISO posture
- + 50+ data centers across the US and Europe, and S3-compatible object storage for training data and checkpoints
Cons
- - Premium per-GPU rates versus spot resellers — often 2-3x higher per GPU-hour for comparable silicon
- - Whole 8-GPU nodes are the default unit of sale; some configurations still route through sales and component pricing (classic line) complicates the bill
- - No cheap entry tier and no general-purpose cloud story — the fit is poor for anything that is not GPU-bound
- - Counterparty concentration: heavy NVIDIA dependence plus the debt-financed build-out of a young public company
Banana
Pros
- + Historical: developer-friendly Docker/Potassium deployment with scale-to-zero GPU autoscaling
- + Historical: per-second GPU billing with no charge while idle
- + Historical: warm pools and model caching reduced cold starts for popular models
- + The founder published an unusually candid shutdown account and migration guidance
Cons
- - Permanently shut down on March 31, 2024 — the service cannot be purchased or used
- - Pricing was opaque even while alive ($1,200/month Team tier, per-GPU costs unpublished)
- - No published uptime SLA and no independent benchmarks
- - Startup platform risk realized: GPU economics forced closure within two months' notice
- - Third-party listings of its pricing and features conflict and cannot be verified against a live product
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