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CoreWeave vs Vultr

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

Quick Verdict

3.6/5

CoreWeave

0 reviews

4.0/5

Vultr

0 reviews

Vultr is rated higher (4.0 vs 3.6). 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
Rating3.6 (0 reviews)4.0 (0 reviews)✓
Pricing modelusage-basedpaid
Starting priceFree tier availableFrom $2.5/mo
Best forAI labs and ML teams running sustained training or high-throughput inference where dedicated GPUs, NVLink/InfiniBand and a real uptime SLA justify premium pricingTeams 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 uptime99.9%100%✓
Data-center count50✓34
€/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
50+ data centers across the United States and Europe
34 regions across North/South America, Europe, Asia, Australia, Africa (see locations page)
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

  • + Published public pricing for the main GPU lines — H100 node $49.24/hr on-demand, $19.71/hr spot — which is more transparency than most GPU clouds offer
  • + Broad NVIDIA catalog (L40 to GB300 NVL72) with managed Kubernetes and Slurm control planes included and InfiniBand at up to 3,200 Gbps
  • + Contractual reliability: 99.9% cross-region SLA (99% single region) with service credits, plus SOC 2 and ISO posture
  • + 50+ data centers across the US and Europe, and S3-compatible object storage for training data and checkpoints

Cons

  • - Premium per-GPU rates versus spot resellers — often 2-3x higher per GPU-hour for comparable silicon
  • - Whole 8-GPU nodes are the default unit of sale; some configurations still route through sales and component pricing (classic line) complicates the bill
  • - No cheap entry tier and no general-purpose cloud story — the fit is poor for anything that is not GPU-bound
  • - Counterparty concentration: heavy NVIDIA dependence plus the debt-financed build-out of a young public company
View full CoreWeavereview →

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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