Which GPUs does Vultr support for AI and machine learning workloads?
💡 Answer
The GPU fleet at Vultr includes both data center and workstation-class accelerators:
A16, A40, L40S, A100 PCIe, GH200, A100 SXM, H100 SXM, B200, B300, MI300X, MI325X, MI355X
Maximum VRAM per GPU: 288 GB
Maximum GPUs per instance: 16
Interconnect: NVLink
This hardware selection covers use cases from cost-effective inference on consumer GPUs to large-scale distributed training on enterprise accelerators.
For detailed GPU specs, VRAM configurations, and multi-GPU options, check 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?
- Where is Vultr headquartered and where are its GPU servers located?
- 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?
- What are the GPU rental rates at Vultr?
Guides Where Vultr Is Featured
- Best Cloud GPU Providers with NVIDIA RTX A6000
- Best Cloud GPUs for Generative AI
- Cheapest Cloud GPUs Under $1/hr
- Cloud GPU Providers with API & CLI Management
- Cloud GPU Providers with Docker & Custom Images
- Cloud GPU Providers with Free Credits
- Cloud GPU Providers with Jupyter Notebook Support
- Cloud GPU Providers with Kubernetes Support
- Cloud GPU Providers with Multi-Node GPU Clusters
- Cloud GPU Providers with NVLink or InfiniBand
- Cloud GPU Providers with Per-Second Billing
- Cloud GPU Providers with Persistent Storage
- Cloud GPU Providers with Serverless GPU Inference
- Cloud GPU Providers with Spot / Preemptible Instances
- Cloud GPU Providers with SSH Access
- Cloud GPU Providers with Zero Egress Fees
These guides include Vultr alongside other cloud GPU providers, grouped by hardware, pricing, features, and infrastructure.
Vultr GPU Provider Review & Key Facts (May 2026)
Snapshot of Vultr: GPU models, pricing, billing granularity, infrastructure, developer tools, support channels, and compliance. Data verified May 2026.
|
Vultr
High-performance cloud GPU across 32 global regions
|
|
|---|---|
| Overview | |
| Trustpilot Rating | 1.7 |
| Headquarters | United States |
| Provider Type | Multi-Cloud |
| Best For | AI training inference video rendering HPC Stable Diffusion game development generative AI fine-tuning research |
| GPU Hardware | |
| GPU Models | A16 A40 L40S A100 PCIe GH200 A100 SXM H100 SXM B200 B300 MI300X MI325X MI355X |
| Max VRAM (GB) | 288 |
| Max GPUs/Instance | 16 |
| Interconnect | NVLink |
| Pricing | |
| Starting Price ($/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