Vast.ai vs Banana
A detailed comparison to help you choose between Vast.ai and Banana.
Quick Verdict
3.7/5
Vast.ai
0 reviews
1.2/5
Banana
0 reviews
Vast.ai is rated higher (3.7 vs 1.2). P2P GPU marketplace connecting researchers and developers with spare compute capacity. Offers rented GPUs at lower rates than centralized cloud providers, ideal for ML training, rendering, and batch processing. 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.
Vast.ai Rent GPUs from individuals for 2-10x cheaper compute | Banana DEFUNCT — serverless GPU inference platform sunset Feb 2024, shut down March 31, 2024 | |
|---|---|---|
| Overview | ||
| Rating | 3.7 (0 reviews)✓ | 1.2 (0 reviews) |
| Pricing model | usage-based | usage-based (historical; shut down 2024-03-31) |
| Starting price | From $0.03/mo✓ | From $2024/mo |
| Best for | ML researchers, rendering studios, and budget-conscious teams running checkpointable training, fine-tune, and batch workloads who are willing to vet hosts themselves | 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 | Global — distributed hosts | — |
| Tags | ||
| Tags | hourly billinggpu availableeu datacenterus datacenterapac datacenter | gpu availableus datacenterapi access |
| Visit Vast.ai → | Visit Banana → | |
Vast.ai
Pros
- + Cheapest public GPU-hour rates anywhere; per-second billing with no minimum charge
- + Always-on capacity across 81 GPU types and hosts in 52 countries — no 'capacity coming soon'
- + Interruptible bidding and reserved discounts give real pricing levers per workload
- + Dense, useful search filters: reliability score, DLPerf, network speed, host tier
- + SOC 2 Type II and HIPAA attestations at the platform level, per third-party comparisons
Cons
- - No SLA, no owned datacenters, and no recourse when an independent host disappears
- - Host variance is real: measured ±11.7% throughput spread on identical H100 SXM specs
- - Storage bills continue on stopped instances; bandwidth is host-set and can be expensive
- - Interruptible preemption risk demands checkpointing discipline
- - Verification and reliability-score formulas are only partially disclosed
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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