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RunPod vs Vultr

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

Quick Verdict

3.7/5

RunPod

0 reviews

4.0/5

Vultr

0 reviews

Vultr is rated higher (4.0 vs 3.7). RunPod is a GPU cloud marketplace with community and secure cloud options. Deploy Docker containers on RTX, A100, and H100 GPUs. Serverless inference endpoints and network volumes for persistent storage. 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.

RunPod

RunPod

Community GPU cloud with on-demand pods

Vultr

Vultr

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

Overview
Rating3.7 (0 reviews)4.0 (0 reviews)✓
Pricing modelusage-basedpaid
Starting priceFrom $0.27/mo✓From $2.5/mo
Best forML developers and small teams running training, fine-tuning or bursty inference who want cheap per-second GPU access without an enterprise contractTeams 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 count3034✓
€/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
hourly billinggpu availableeu datacenterus datacenter
hourly billingnvme storageipv6ddos protectionbackups includedsnapshotsbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterterraform providerapi accesswindows available
Visit RunPod →Visit Vultr →

RunPod

Pros

  • + Published per-second GPU pricing from $0.27/hr with no commitment
  • + Free egress and cheap network volumes at $0.07/GB/month for the first TB
  • + Secure Cloud tier with SOC 2 Type II and a 99.9% uptime SLA
  • + Serverless endpoints scale to zero for spiky inference workloads
  • + S3-compatible API over network volumes for data movement without booting pods

Cons

  • - Community Cloud reliability depends on vetted third-party hosts with no SLA
  • - Idle volume disk bills at double the running rate and uncovered volumes can be deleted
  • - Support is thin; no named-engineer escalation on standard accounts
  • - No published IPv6 or DDoS protection position for pods
  • - No free tier and no general-purpose cloud services alongside the GPUs
View full RunPodreview →

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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