Vultr

What's good about Vultr

• 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

Vultr GPU prices

8 GPU models across 12 configurations. Rank compares Vultr's cheapest on-demand listing for each GPU with every provider's cheapest.

What a run costs on Vultr

24 hours at today's cheapest listing for each GPU, at the size it is listed.

• 1× L40S for 24 hours

  At $1.67/GPU-hr

  $40.10

  $14.78 over the market median rate

• 4× A100 PCIe 80GB for 24 hours

  At $2.40/GPU-hr

  $230.14

  $91.42 over the market median rate

The market median is every provider's cheapest on-demand price for that GPU.

Billing & terms

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

Watch out for

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

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

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

Getting started

1. Step 1

   Create an account

   Sign up for a free Vultr account

2. Step 2

   Select GPU instance

   Choose from AMD or NVIDIA GPU options based on your workload

3. Step 3

   Choose deployment type

   Select between virtual machine or bare metal deployment

4. Step 4

   Configure and launch

   Set up networking, storage, and security options before launching