TensorDock vs Vultr
A detailed comparison to help you choose between TensorDock and Vultr.
Quick Verdict
3.8/5
TensorDock
0 reviews
4.0/5
Vultr
0 reviews
Vultr is rated higher (4.0 vs 3.8). TensorDock is a GPU compute marketplace with per-second billing — H100 SXM5 from $2.80/hour and A100 from $1.50/hour (A100 PCIe 80GB) on its published rate card. 100+ locations in 20+ countries, 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 | 3.8 (0 reviews) | 4.0 (0 reviews)✓ |
| Pricing model | usage-based | paid |
| Starting price | From $0.1/mo✓ | From $2.5/mo |
| Best for | Cost-conscious ML engineers, researchers and studios running training with checkpointing, batch inference or rendering, especially where consumer GPUs like the RTX 4090 fit the workload | Teams needing low-latency compute across multiple continents, API-first fleets, and self-serve GPU or bare metal with predictable billing |
| Specifications (entry plan) | ||
| CPU cores | 2 vCPU✓ | 1 vCPU |
| RAM | 4 GB✓ | 1 GB |
| Storage | 20 GB✓ | 10 GB |
| Bandwidth | — | 1 TB/mo |
| SLA uptime | 99.99% | 100%✓ |
| Data-center count | 100✓ | 34 |
| €/vCPU/mo | €0.05✓ | €2.50 |
| €/GB RAM/mo | €0.03✓ | €2.50 |
| 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 | 100+ marketplace locations in over 20 countries (US, EU, Asia-Pacific); tier 3/4 data centers plus community hosts | 34 regions across North/South America, Europe, Asia, Australia, Africa (see locations page) |
| 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
- + Among the lowest published GPU rates anywhere: RTX 4090 at $0.35/hr, H100 SXM5 at $2.85/hr typical
- + A la carte, per-second billing for vCPU, RAM and NVMe — pay only for the configuration you need
- + Breadth: 45 GPU models across 100+ locations in 20+ countries, with an API for automation
- + Published rate card and transparent explanation of why the same GPU has multiple prices
- + Host vetting, host SSH access revoked, and a 99.99% uptime standard for listed hosts
Cons
- - Marketplace variance: host redundancy and quality differ, with cheaper listings often least redundant
- - Email-only support with multi-hour response windows; no contractual SLA with credits
- - Prepaid balance model deletes servers when the balance reaches zero
- - Published rate card is stamped July 2024 and carries a no-guarantee disclaimer
- - Fewer managed niceties (templates, serverless) than RunPod, Lambda or hyperscalers
Vultr
Pros
- + Truly global: 34 regions on six continents from one console, one API, one price list - with per-region test IPs published
- + Fully published hourly and monthly pricing from $2.50/mo, mature REST API and Terraform provider
- + 100% network and host-node uptime SLA with credits; standardized platform behavior across every region
- + Broad self-serve catalog: NVMe optimized VMs, NVIDIA/AMD GPUs, bare metal, managed databases/Kafka, S3-compatible object storage, VKE
Cons
- - Price-performance trails European leaders: our measured HF 2GB (Amsterdam) had the slowest NVMe storage of six tested providers at a mid-range price
- - Backups cost 20% of instance price, snapshots bill per GB, Windows and extra egress are add-ons
- - No refunds in the terms of service; support is ticket-only for self-serve customers
- - Overlapping instance families (Cloud Compute, VX1, Optimized) make it easy to pick a stale SKU; region count differs across Vultr's own pages (32/33/34)
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