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Paperspace (Gradient) vs Vultr

A detailed comparison to help you choose between Paperspace (Gradient) and Vultr.

Quick Verdict

3.4/5

Paperspace (Gradient)

0 reviews

4.0/5

Vultr

0 reviews

Vultr is rated higher (4.0 vs 3.4). M4000 GPU machines from $0.45/hour 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.

Paperspace (Gradient)

Paperspace (Gradient)

ML platform and GPU cloud by DigitalOcean

Vultr

Vultr

High-performance cloud infrastructure with global data centers and competitive pricing

Overview
Rating3.4 (0 reviews)4.0 (0 reviews)✓
Pricing modelfreemiumpaid
Starting priceFree tier available✓From $2.5/mo
Best forIndividuals, students and existing users wanting managed GPU notebooks and cheap older-generation GPU machines without building infrastructure.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—1 vCPU
RAM—1 GB
Storage—10 GB
Bandwidth—1 TB/mo
SLA uptime—100%
Data-center count334✓
€/vCPU/mo—€2.50
€/GB RAM/mo—€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—
34 regions across North/South America, Europe, Asia, Australia, Africa (see locations page)
Tags
Tags
free tierhourly billinggpu availableus datacenterapi access
hourly billingnvme storageipv6ddos protectionbackups includedsnapshotsbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterterraform providerapi accesswindows available
Visit Paperspace (Gradient) →Visit Vultr →

Paperspace (Gradient)

Pros

  • + Cheap GPU access on older cards: M4000 at $0.45/hour, P4000 at $0.51/hour
  • + Free tier plus $8/month Pro plan makes managed GPU notebooks accessible
  • + Machines include persistent storage and free unlimited bandwidth
  • + Notebook-to-deployment ML workflow (notebooks, workflows, deployments) in one product
  • + Amsterdam region gives EU machine placement

Cons

  • - Being sunset into DigitalOcean's platform — standalone roadmap and APIs already replaced
  • - ML platform (Notebooks/Deployments/Workflows) runs in NY2 only; no APAC presence
  • - Newest GPUs (A100/H100/RTX5000) are NY2-only; rate cards have changed recently
  • - Team tiers cap at 2-5 members; storage overages at $0.29/GB
View full Paperspace (Gradient)review →

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)
View full Vultrreview →

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