Scaleway vs Banana
A detailed comparison to help you choose between Scaleway and Banana.
Scaleway European cloud infrastructure with competitive pricing and transparent billing | Banana Serverless GPU inference with built-in model serving | |
|---|---|---|
| Overview | ||
| Rating | 4.8 (475 reviews)✓ | 4.5 (328 reviews) |
| Pricing model | freemium | usage-based |
| Starting price | Free tier available | Free tier available |
| Best for | European startups and developers prioritizing cost efficiency, data sovereignty, and avoiding long-term contracts with established cloud providers. | ML engineers and startups needing cost-effective serverless GPU inference without DevOps overhead |
| Specifications (entry plan) | ||
| CPU cores | 2 vCPU | — |
| RAM | 2 GB | — |
| Storage | 20 GB | — |
| Bandwidth | 1 TB/mo | — |
| SLA uptime | 99.9% | — |
| Data-center count | 5 | — |
| €/vCPU/mo | €0.00 | — |
| €/GB RAM/mo | €0.00 | — |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ||
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ✓ | |
| Data-center locations | ||
| Regions | FranceNetherlandsPoland | — |
| Tags | ||
| Tags | free tierhourly billingipv6ddos protectionsnapshotsmanaged optionbare metalgpu availables3 compatibleeu datacentergdpr compliantterraform providerkubernetes supportapi access | gpu availableus datacenterapi access |
| Visit Scaleway → | Visit Banana → | |
Scaleway
Pros
- + Configure instances precisely with granular CPU, RAM, and storage options
- + Access bare-metal servers at lower price points than major competitors
- + Pay by the hour with no long-term contracts or setup fees
- + Manage infrastructure via API or intuitive dashboard
- + Comply with EU data residency requirements with multiple European regions
Cons
- - Smaller ecosystem and fewer third-party integrations compared to AWS or DigitalOcean
- - Support response times slower than premium enterprise providers
- - Limited US region availability; primarily Europe-focused infrastructure
Banana
Pros
- + Deploy ML models without managing servers or Kubernetes clusters
- + Access multiple GPU types (NVIDIA T4, A40, A100) for different performance needs
- + Use built-in model templates for common frameworks (PyTorch, TensorFlow, Hugging Face)
- + Scale automatically from zero to handle traffic spikes
Cons
- - Limited to inference workloads; not suitable for long-running batch jobs
- - Colder starts and potential latency compared to dedicated GPU instances
- - Smaller ecosystem and community compared to AWS or Google Cloud
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