Where is Vultr headquartered and where are its GPU servers located?
💡 Answer
Infrastructure overview for Vultr:
- Headquarters: United States
- GPU regions: 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa)
- Uptime SLA: 100%
- Private networking: Yes
Multi-region availability allows you to deploy models closer to end users, reducing inference latency. It also provides redundancy options for critical workloads.
View the full list of data center regions at Vultr official website.
More FAQs about Vultr
- What kind of users does Vultr cater to?
- Is Vultr well-reviewed on Trustpilot?
- Does Vultr offer persistent storage for ML datasets and models?
- Does Vultr have an API or CLI for managing GPU instances?
- Is pay-per-request GPU inference available at Vultr?
- How does Vultr handle GPU-to-GPU communication for distributed workloads?
- Does Vultr support spot pricing for AI training jobs?
- What should I know about egress fees at Vultr before signing up?
- How much free credit does Vultr give to new users?
- Which GPUs does Vultr support for AI and machine learning workloads?
- What are the GPU rental rates at Vultr?
Guides Where Vultr Is Featured
- Best Cloud GPU Providers with NVIDIA RTX 6000 Ada
- Best Cloud GPUs for Research & Experimentation
- Cheapest Cloud GPUs Under $0.50/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Vultr alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Vultr GPU Provider Review & Key Facts (May 2026)
Snapshot of Vultr: GPU models, pricing, billing granularity, infrastructure, developer tools, support channels, and compliance. Data verified May 2026.
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Vultr
High-performance cloud GPU across 32 global regions
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|---|---|
| Overview | |
| Trustpilot Rating | 1.7 |
| Headquarters | United States |
| Provider Type | Multi-Cloud |
| Best For | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research |
| GPU Hardware | |
| GPU Models | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X |
| Max VRAM (GB) | 288 |
| Max GPUs/Instance | 16 |
| Interconnect | NVLink |
| Pricing | |
| Starting Price ($/hr) | $0.47/hr |
| Billing Granularity | Per-hour |
| Spot/Preemptible | Yes |
| Reserved Discounts | N/A |
| Free Credits | Up to $300 free credit for 30 days |
| Egress Fees | Standard (varies by plan) |
| Storage | 350 GB - 61 TB NVMe (included), Block Storage at $0.10/GB/mo, S3-compatible Object Storage |
| Infrastructure | |
| Regions | 32 regions across 6 continents (Americas, Europe, Asia, Australia, Africa) |
| Uptime SLA | 100% |
| Developer Experience | |
| Frameworks | PyTorch TensorFlow CUDA cuDNN ROCm Hugging Face NVIDIA NGC |
| Docker Support | Yes |
| SSH Access | Yes |
| Jupyter Notebooks | Yes |
| API / CLI | Yes |
| Setup Time | Minutes |
| Kubernetes Support | Yes |
| Business Terms | |
| Min Commitment | None |
| Compliance | SOC 2+ (HIPAA) PCI ISO 27001 ISO 27017 ISO 27018 ISO 20000-1 CSA STAR Level 1 |
Vultr