TensorDock vs Vultr
A detailed comparison to help you choose between TensorDock and Vultr.
Quick Verdict
3.7/5
TensorDock
50 reviews
4.2/5
Vultr
499 reviews
Vultr is rated higher (4.2 vs 3.7). TensorDock offers GPU compute at competitive prices — H100 from $2.00/hour and A100 from $1.50/hour. Multiple US and EU datacenter locations with on-demand provisioning. Vultr is a cloud platform offering VPS, bare metal servers, and Kubernetes hosting across 32 data centers worldwide. Built for developers and businesses needing scalable, reliable compute resources with transparent billing.
TensorDock Affordable GPU cloud compute without long-term contracts | Vultr High-performance cloud infrastructure with global data centers and competitive pricing | |
|---|---|---|
| Overview | ||
| Rating | 3.7 (50 reviews) | 4.2 (499 reviews)✓ |
| Pricing model | usage-based | paid |
| Starting price | Free tier available✓ | From €5/mo |
| Best for | Machine learning engineers and researchers who need cost-effective, flexible GPU access for training and inference without enterprise support requirements. | Developers and DevOps teams building applications requiring low latency across multiple regions or those prioritizing cost-effective, API-first infrastructure management. |
| Specifications (entry plan) | ||
| CPU cores | — | 1 vCPU |
| RAM | — | 1 GB |
| Storage | — | 25 GB |
| Bandwidth | — | 1 TB/mo |
| SLA uptime | — | 99.99% |
| Data-center count | — | 32 |
| €/vCPU/mo | — | €5.00 |
| €/GB RAM/mo | — | €5.00 |
| Performance | ||
| CPU score (sysbench) | — | 4,100 |
| Disk read (fio) | — | 1,800 MB/s |
| Disk IOPS (4K random) | — | 38,000 |
| Network out | — | 1 Gbps |
| Latency (TTFB) | — | 24 ms |
| Features | ||
| IPv6 | ✓ | |
| DDoS protection | ✓ | |
| Automated backups | ✓ | |
| Snapshots | ✓ | |
| Managed option | ||
| Bare metal | ||
| GPU available | ||
| S3-compatible | ||
| Hourly billing | ✓ | |
| Free tier | ||
| Data-center locations | ||
| Regions | — | United StatesUnited KingdomGermanyNetherlandsFranceAustralia+6 |
| Tags | ||
| Tags | hourly billinggpu availableeu datacenterus datacenter | hourly billingnvme storageipv6ddos protectionbackups includedsnapshotsbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterterraform providerapi accesswindows available |
| Visit TensorDock → | Visit Vultr → | |
TensorDock
Pros
- + Pay-per-minute billing with no monthly minimums or long-term commitments
- + Access multiple GPU types (A100, RTX A6000, H100) at transparent rates
- + Deploy instances in under 60 seconds via API or web dashboard
- + No egress fees for data transfers between instances
Cons
- - Smaller geographic footprint compared to AWS or Google Cloud
- - Limited managed services ecosystem (database, monitoring integration)
- - Spot availability can fluctuate during peak demand periods
Vultr
Pros
- + Deploy servers in 32 global locations with minimal latency
- + Access affordable pricing with hourly billing and no setup fees
- + Manage infrastructure via intuitive dashboard or REST API
- + Scale resources on-demand without contract commitments
Cons
- - Smaller ecosystem of pre-built applications compared to AWS or DigitalOcean
- - Support limited to ticketing system; no phone support on lower plans
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