TensorDock vs Vultr

A detailed comparison to help you choose between TensorDock and Vultr.

TensorDock

TensorDock

Cheap GPU cloud for ML — H100 from $2.00/hour

Vultr

Vultr

32 datacenter locations globally

Overview
Rating3.7 (50 reviews)4.2 (499 reviews)
Pricing modelusage-basedpaid
Starting priceFree tier availableFrom €5/mo
Best forML researchers wanting H100 compute at the lowest available per-hour pricingApplications that need specific geographic datacenter locations — especially APAC, Africa, or South America
Specifications (entry plan)
CPU cores1 vCPU
RAM1 GB
Storage25 GB
Bandwidth1 TB/mo
SLA uptime99.99%
Data-center count32
€/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 out1 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

  • + Among cheapest H100 pricing at $2.00/hour
  • + Multiple global locations
  • + On-demand with hourly billing

Cons

  • - Limited persistent storage options
  • - Smaller provider
View full TensorDockreview →

Vultr

Pros

  • + 32 global datacenter locations — most in the market
  • + High Frequency NVMe plans are competitively fast
  • + Bare Metal Cloud available on-demand

Cons

  • - Bandwidth overages can get expensive on low-end plans
  • - UI less polished than DigitalOcean
View full Vultrreview →

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