Enterprise-Grade GPU Hosting, Reimagined

GPU hosting gives you access to cloud servers powered by high-performance Graphics Processing Units (GPUs). Unlike standard CPU hosting, GPU servers are designed for parallel computing, making them the ideal choice for running resource-intensive workloads such as artificial intelligence, deep learning, machine learning, big data processing, 3D rendering, and scientific simulations.

GPU hosting is perfect for developers, data scientists, researchers, and businesses that need extra computing power, customized models, or increased privacy. If you’re training AI or ML models, running advanced analytics, processing video at scale, or building next-generation applications, cloud GPU hosting can help you get results faster and more efficiently than relying on traditional CPU servers.

Yes. Cloud GPU servers are purpose-built for AI and machine learning. They can handle the massive datasets and complex calculations that come with training and deploying modern models. With the right GPU, training times can drop from weeks to hours, while inference speeds up dramatically—giving you a competitive edge in deploying AI solutions.

Pricing for NameHero’s GPU hosting is pay-per-hour, meaning you’re billed based on the type of GPU and how long you use it. At NameHero, we provide transparent pricing so you only pay for what you need.

GPU instances at NameHero launch within just a few minutes. Once deployed, you can immediately begin installing frameworks, uploading your data, and running workloads without delay.

Yes. All of our GPU servers run on dedicated bare-metal hardware, giving you full, uncompromised performance. Each machine comes with the latest version of Ubuntu pre-installed and Docker ready to go, so you can easily virtualize multiple containers or workloads as needed. This setup ensures maximum flexibility while avoiding the overhead and limitations of traditional hypervisors.

Yes. You have full control over your environment. Whether you prefer TensorFlow, PyTorch, Keras, scikit-learn, or any other framework, you can install and configure your own dependencies. We also offer prebuilt images with popular ML/DL libraries to help you get started faster.

There are several options: you can transfer files securely with SSH/SCP or SFTP, integrate with cloud storage services like Amazon S3 or Google Cloud Storage, or attach persistent storage volumes. You can also connect directly to repos such as HuggingFace.co. These methods make it easy to move large datasets and trained models in and out of your GPU servers at NameHero

Security is a top priority at NameHero. All data is encrypted in transit and at rest, and customers have access to private networking, firewalls, and DDoS protection. We also follow strict access controls and industry compliance standards to ensure your models, code, and data remain protected. We are also GDPR compliant in the EEA.

Cloud GPU hosting eliminates the need to purchase expensive hardware and provides on-demand access to the latest GPU technology. Benefits include: Flexible scaling (add or remove resources instantly)

• Global availability with minimal setup time
• Pay-as-you-go pricing with no upfront investment
• Reduced maintenance, since we manage hardware and updates
• Faster results for AI, ML, rendering, and other GPU-heavy workloads

Owning high-end GPUs can be costly, and hardware quickly becomes outdated. With GPU hosting in the cloud, you get instant access to the latest hardware, scalability on demand, and only pay for what you use. It’s also easier to secure, easier to manage, and backed by enterprise-grade infrastructure, which makes it a smarter long-term solution for businesses and developers who want both performance and flexibility.