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CoreWeave vs Vultr

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

Quick Verdict

3.8/5

CoreWeave

252 reviews

4.2/5

Vultr

499 reviews

Vultr is rated higher (4.2 vs 3.8). CoreWeave is a purpose-built GPU cloud for AI — 40,000+ NVIDIA GPUs including H100, A100, and RTX. Used by OpenAI, Mistral, and Cohere. Kubernetes-native and connected to NVIDIA. 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.

CoreWeave

CoreWeave

Purpose-built cloud for AI and GPU workloads

Vultr

Vultr

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

Overview
Rating3.8 (252 reviews)4.2 (499 reviews)
Pricing modelpaidpaid
Starting priceFrom €200/moFrom €5/mo
Best forAI companies and research organizations needing large-scale GPU compute for model trainingDevelopers and DevOps teams building applications requiring low latency across multiple regions or those prioritizing cost-effective, API-first infrastructure management.
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 availableus datacenterapi accesskubernetes support
hourly billingnvme storageipv6ddos protectionbackups includedsnapshotsbare metalgpu availables3 compatibleeu datacenterus datacenterapac datacenterterraform providerapi accesswindows available
Visit CoreWeave →Visit Vultr →

CoreWeave

Pros

  • + Largest GPU cloud specialized for AI workloads
  • + NVIDIA partnership — direct GPU access
  • + Kubernetes-native architecture

Cons

  • - Enterprise pricing and contracts required
  • - Less accessible for individual developers
View full CoreWeavereview →

Vultr

Pros

  • + Deploy servers in 32 global locations with minimal latency
  • + Access affordable pricing with hourly billing and no setup fees
  • + Manage infrastructure via intuitive dashboard or REST API
  • + Scale resources on-demand without contract commitments

Cons

  • - Smaller ecosystem of pre-built applications compared to AWS or DigitalOcean
  • - Support limited to ticketing system; no phone support on lower plans
View full Vultrreview →

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