State-of-the-art Cloud GPU infrastructure

Powered by advanced AMD accelerators
and NVIDIA-accelerated computing

AMD is part of the
Vultr Cloud Alliance
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Vultr is an NVIDIA Partner Network (NPN) Preferred Cloud Partner

Large-scale dedicated clusters and flexible on-demand VMs, accelerated by
AMD and NVIDIA GPUs

Vultr Cloud GPU, underpinned by Vultr's collaborations with AMD and NVIDIA, simplifies next-gen GPU-accelerated infrastructure. Sidestepping the usual complications of driver setups and licensing, it offers users a direct conduit to the raw power of AMD and NVIDIA GPUs for any computational endeavor.

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Develop locally,
deploy globally®

32 cloud data center regions

Amsterdam NL
Atlanta, GA US
Bangalore IN
Chicago, IL US
Dallas, TX US
Delhi NCR IN
Frankfurt DE
Honolulu, HI US
Johannesburg ZA
London GB
Los Angeles, CA US
Madrid ES
Manchester GB
Melbourne AU
Mexico City MX
Miami, FL US
Mumbai IN
New Jersey, NJ US
Osaka JP
Paris FR
Santiago CL
São Paulo BR
Seattle, WA US
Seoul KR
Silicon Valley, CA US
Singapore SG
Stockholm SE
Sydney AU
Tel Aviv IL
Tokyo JP
Toronto CA
Warsaw PL
32 regions

Vultr Kubernetes Engine for Cloud GPU

Create GPU-accelerated Kubernetes clusters that will power your most resource-intensive workloads anywhere in the world. This powerful combination empowers developers and innovators to build sophisticated AI and machine learning systems that can handle even the most complex challenges.

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Vultr Serverless Inference

Deploy and scale Generative AI (GenAI) models quickly and efficiently, with the ability to use your proprietary data or trained model powered by the simple-to-manage Vultr Serverless Inference’s global acceleration.

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Develop, deploy, and optimize

Cloud-native applications that run every aspect of your business

Instantly discover the applications and services for your business in Vultr Marketplace

Harness a wide variety of plug-and-play SaaS applications to make developing and deploying your cloud applications easier.

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Find the containerized services you need in Vultr Container Registry

Browse the PaaS and SaaS offerings in our marketplace of pre-built Kubernetes containers to accelerate application development, deployment and optimization.

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Draw on services from our partners to deploy and optimize your cloud applications

Vultr's strategic partnerships with leading IaaS, PaaS, and SaaS providers empower customers to build enterprise-grade cloud solutions without the cost, complexity, or lock-in of hyperscalers.

Learn more about the Vultr Cloud Alliance

Built for business

Schedule automatic backups, create server snapshots, set up flexible networking, and secure compute instances with on-demand firewall protection.

API and Terraform
Use our API or Terraform provider to quickly create and control your instances.
Global content delivery
Accelerate and secure your content across six continents with Vultr CDN, delivering unmatched speed and accessibility.
DDoS
protection
Our DDoS mitigation system offers protection against layer 3 and layer 4 network attacks.
Bring your own IP space
BGP announcement of your IP space is available in any of Vultr’s worldwide cloud data center locations.

Drive innovation forward with state-of-the-art NVIDIA GPUs

AI and ML are the drivers of breakthrough innovation. Until recently, only the wealthiest organizations could afford to purchase and maintain their own GPUs – the infrastructure that makes AI and ML possible.

But now, a new paradigm has emerged that makes GPUs affordable and democratizes access to this vital AI infrastructure.

Closing the GPU Divide

Read our eBook to learn how companies are leveraging NVIDIA GPUs to power the latest AI and ML technologies at a truly affordable price point.

No information is required for download

Additional resources

Review our FAQ and Vultr Cloud GPU Doc for more information.

FAQ

How does a Cloud GPU work?

A Cloud GPU works by providing access to GPU instances hosted in data centers. This enables users to run intensive computing tasks such as AI training, gaming, and rendering without needing a physical GPU.

What are the benefits of using Vultr Cloud GPU?

  • No upfront hardware costs
  • Scalable computing power
  • Access to high-performance GPUs from anywhere
  • Ideal for AI, ML, gaming, and 3D rendering

What are the key use cases for each tier of object storage?

  • AI model training
  • Machine learning & deep learning
  • Video rendering & 3D modeling
  • High-performance gaming & game development

How do I choose the right cloud GPU for my needs?

When selecting a cloud GPU service, consider factors like GPU power, memory, pricing, and the specific workload (e.g., AI, rendering, or gaming).

What’s the difference between a cloud GPU and a traditional GPU?

A traditional GPU is a physical graphics card installed in a local machine, while a Cloud GPU is accessed remotely via cloud infrastructure, offering more scalability and flexibility.

How does Vultr Cloud GPU pricing compare to other GPU-as-a-service providers?

Vultr offers some of the most competitive pricing in the industry for GPU-as-a-service, with transparent pay-as-you-go rates and no long-term contracts required. Unlike the hyperscalers, Vultr avoids complex, multi-layered pricing structures. Vultr makes it easy to deploy high-performance infrastructure without breaking your budget.

How does Vultr's Cloud GPU stack compare to Azure, AWS, and Google Cloud for AI workloads?

Vultr delivers bare metal access to the latest AMD and NVIDIA GPUs – without vendor lock-in, high egress costs, and hyperscaler billing complexity. Vultr also offers global availability, pre-configured AI/ML templates, and integration with industry-leading model training and inference tools. With a focus on performance, simplicity, and price predictability, Vultr is purpose-built for next-generation AI workloads.

How does serverless inference leverage cloud GPUs for efficient GenAI deployment?

Vultr Serverless Inference automatically provisions, scales, and shuts down GPU resources based on real-time demand. This lets developers deploy GenAI models – like LLMs and vision transformers – without managing infrastructure. With private GPU clusters, OpenAI-compatible APIs, and inference-optimized GPUs, Vultr provides a cost-effective, scalable platform for low-latency AI application delivery.

What are the advantages of using a reserved cloud GPU server versus an on-demand instance?

Reserved GPU servers on Vultr offer consistent, full-performance access to the entire GPU – ideal for training large models or running latency-sensitive inference. In contrast, on-demand instances may share resources and can be better suited for bursty, less intensive workloads. Reserved access gives users maximum control, stability, and throughput – key factors for enterprise AI operations.

How does a Cloud GPU work?

A Cloud GPU works by providing access to GPU instances hosted in data centers. This enables users to run intensive computing tasks such as AI training, gaming, and rendering without needing a physical GPU.

Case study
“Important aspects of a partner: consistent availability of GPUs, as well as technical understanding of our configuration requirements and machine maintenance for the use cases of our business.”
Dwight Churchill
COO at Captions

Read the case study

High performance, low price

Start your GPU-accelerated project now by signing up for a free Vultr account. Or, if you’d like to speak with us regarding your needs, please reach out.