Lepton AI vs Vultr

A detailed comparison to help you choose between Lepton AI and Vultr.

Lepton AI

Lepton AI

Cloud platform for deploying AI models

Vultr

Vultr

32 datacenter locations globally

Overview
Rating3.9 (74 reviews)4.2 (499 reviews)
Pricing modelusage-basedpaid
Starting priceFree tier availableFrom €5/mo
Best forML engineers deploying AI models who want pay-per-token API pricing without managing GPU infrastructureApplications 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
free tiergpu availableus datacenterapi access
hourly billingnvme storageipv6ddos protectionbackups includedsnapshotsbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterterraform providerapi accesswindows available
Visit Lepton AI →Visit Vultr →

Lepton AI

Pros

  • + Pay-per-token API pricing — no idle GPU costs
  • + Built by AI researchers for AI workloads
  • + Simple deployment of any model

Cons

  • - Newer platform
  • - Limited to inference focus
View full Lepton AIreview →

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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