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Vultr

Simple cloud infrastructure worldwide

Classical hyperscaler🇺🇸 USbudget

Last reviewed Mar 14, 2026

Vultr offers global access to the latest AMD and NVIDIA GPUs for AI/ML, AR/VR, high-performance computing, VDI/CAD, and more, available on demand either as virtual machines or bare metal across 32 worldwide data center regions.

11
GPU Models
$0.51
From / hour

Available GPUs

Hourly on-demand pricing. Click column headers to sort.

Prices last updated: May 13, 2026

Pricing
GPU Model
Memory
GPUs
vCPUs
RAM
Price / hr
Updated
Source
A100 PCIE40GB
1×
12120 GB
$2.40/hr
4/16/2026
A100 SXM80GB
1×
12120 GB
$2.60/hr
5/13/2026
A1664GB
1×2×4×8×16×
664 GB
$0.51/hr
5/13/2026
A4048GB
1×4×
24120 GB
$1.86/hr
5/13/2026
GH20096GB
1×
72480 GB
$1.99/hr
5/2/2026
L40S48GB
1×
16180 GB
$1.67/hr
5/2/2026
MI300X192GB
1×8×
2482154 GB
$1.85/hr
5/2/2026
MI325X256GB
1×8×
2482872 GB
$2.00/hr
5/2/2026
MI355X288GB
1×8×
2522872 GB
$2.59/hr
5/2/2026

Pros & Cons

Advantages

  • Wide range of AMD and NVIDIA GPU options
  • Extensive global network (32 data center regions)
  • Both VM and bare metal deployment options
  • Kubernetes and containerization support
  • NVIDIA Preferred Cloud Partner status
  • Simplified driver setup and licensing
  • API and Terraform integration

Limitations

  • Medium GPU availability compared to some specialized providers
  • Less established in the GPU market compared to major hyperscalers
  • Limited documentation specific to GPU workloads

Key Features

AMD and NVIDIA GPU Options

Access to diverse GPU options including AMD Instinct and NVIDIA Tensor Core GPUs

Global Availability

Deploy GPU resources across 32 cloud data center regions worldwide

Kubernetes Support

Vultr Kubernetes Engine for GPU-accelerated containerized workloads

Serverless Inference

Deploy and scale GenAI models quickly with Vultr Serverless Inference

Virtual Machines and Bare Metal

Choose between GPU-accelerated VMs or dedicated bare metal servers

Global Content Delivery

Accelerate content delivery across six continents with Vultr CDN

Compute Services

NVIDIA GPU Instances

Virtual machines and bare metal servers with NVIDIA GPUs

AMD GPU Instances

Computing infrastructure powered by AMD Instinct accelerators

Vultr Kubernetes Engine

Managed Kubernetes service for GPU-accelerated containerized applications

  • GPU-accelerated Kubernetes clusters
  • Global deployment options
  • Simplified container orchestration
  • Support for resource-intensive workloads

Vultr Serverless Inference

Deploy and scale GenAI models efficiently

  • Quick deployment of AI models
  • Efficient scaling
  • Support for proprietary data or trained models
  • Global acceleration

Availability & Support

Regions

32 global cloud data center regions across North America, South America, Europe, Asia, Africa, and Australia

Support

Documentation, community forums, support tickets, and dedicated customer support

Getting Started

  1. 1

    Create an account

    Sign up for a free Vultr account

  2. 2

    Select GPU instance

    Choose from AMD or NVIDIA GPU options based on your workload

  3. 3

    Choose deployment type

    Select between virtual machine or bare metal deployment

  4. 4

    Configure and launch

    Set up networking, storage, and security options before launching

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