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PyTorch is a fully featured framework for building deep learning models.
PyTorch pre-installed on servers in the Netherlands, Finland, Germany, Iceland, Turkey and the USA
Rent a virtual (VPS) or a dedicated server with pre-installed PyTorch - a free and open-source machine learning library. Simply choose the right plan, configure a server and start working in just 15 minutes.
PyTorch is provided only for leased HOSTKEY servers. To get a PyTorch license, select it in the "Panels Software" tab while ordering the server.
Rent a reliable VPS in the Netherlands, Finland, Germany, Iceland, Turkey and the USA.
Server delivery ETA: ≈15 minutes.
Rent a dedicated server with a full out-of-band management in the Netherlands, Finland, Germany, Turkey and the USA.
Server delivery ETA: ≈15 minutes.
PyTorch is a free and open-source deep learning framework built to be flexible and modular for research, with the stability and support needed for production deployment. It is released under the modified BSD license.
We guarantee that our servers are running safe and original software.
To install PyTorch, you need to select a license while ordering a server on the HOSTKEY website. Our auto-deployment system will install the software on your server.
If you have any difficulties or questions when installing and/or using the software, carefully learn the documentation on the official website of the developer, read about typical problems and how to solve them or contact PyTorch support.
A PyTorch server gives the resources needed to develop, train and apply machine learning models built on PyTorch. They are best used for processing big datasets, building sophisticated neural networks and running real-time analysis. If ML teams move demanding tasks to a dedicated PyTorch server, they can work more quickly, ensure their results are the same and rely on stable performance in production.
All HOSTKEY PyTorch servers are built to be scalable. You can enhance important parts such as RAM, CPU or GPU whenever you need, without transferring your workloads. This makes it easy for teams to deploy on a small scale and then add more resources as their work develops, without any service interruptions.
No problem. HOSTKEY offers many pre-configured environments that include well-known machine learning libraries such as TensorFlow, Scikit-learn, JAX and Hugging Face Transformers. You may use these environments together with PyTorch or join several libraries in one project to fulfill your needs.
Yes. All PyTorch server rentals from HOSTKEY give you access to our expert support team at any time. If you need help with your environment, optimizing training, fixing GPU driver problems or configuring Docker, our experts are ready to help at any time to ensure you continue working productively.
Absolutely. HOSTKEY is known for offering custom services designed for tough machine learning tasks. If your project requires a custom mix of hardware, including more GPU memory, high IOPS storage or better CPUs, we can design a server that suits you. Researchers, startups and businesses looking for unique AI applications will find custom specs very useful.
PyTorch is a machine learning library based on the Torch library, used for applications such as computer vision and natural language processing.
Pre-installed & Ready to Go
Deploy your PyTorch model faster with minimal setup time. Every PyTorch server is equipped with the latest release of PyTorch, CUDA and the most popular ML frameworks. You don’t need to waste hours configuring dependencies, it only takes a few minutes to get your PyTorch models up and running, not hours.
Optimized for Performance
Whether you're training a complex neural network or a large language model, the hardware is fully optimized so that each component, from GPU to memory and storage, can support PyTorch machine learning tasks without troubles.
Data Centers Across the Globe
Place your PyTorch model near your end users. With data centers located across Europe, USA and Asia, you can deploy PyTorch models globally to improve latency and performance. Our PyTorch servers are Ideal for researchers and businesses working with real-time or distributed applications.
24/7 Technical Support
If you need help with deploying a PyTorch model or troubleshooting a performance issue, error-solving or performance issue, our experienced engineers are available around the clock to support you with setup, optimization or emergency fixes, so your PyTorch machine learning projects stay on track.
Pre-installed AI Software
You can access a range of environments, including PyTorch, TensorFlow, JupyterLab and Docker containers on the marketplace. Be it by experimenting with computer vision or by running a production-grade PyTorch model, it all comes ready by default.
Scalable Infrastructure
Begin with a few customers and work your way up. Increase your computing, storage and graphics processing power without moving your applications. This makes it easy to scale your PyTorch machine learning projects as demand grows.
Flexible Billing
You can choose to pay for your website by the hour or by the month. Perfect for both one-off experiments and long-term PyTorch server deployments.
Discounts Up to 40%
You can cut costs by renting for a long period or by purchasing in bulk. Excellent for both research and startup companies. Our pricing models will help to keep your PyTorch server costs under control.
Training Deep Learning Models
Training complex architectures like CNNs, RNNs and Transformers requires serious GPU. An effective PyTorch server lets you deploy PyTorch models effectively, cutting down training time intensely.
Recommended config: Two AMD EPYC processors, 256GB of RAM and two A100 GPUs
Fine-Tuning Pre-trained Models
Use PyTorch to fine-tune models like BERT, GPT, or LLaMA on your own datasets. With enough GPU memory and fast CPU threads, your PyTorch model adapts quickly to specific tasks.
Recommended config: AMD Ryzen 7950X, 128GB RAM, 2x RTX 4090
Research & Academic Projects
A cheap GPU VPS is a very good option whether you want to test some prototype architecture or whether you want to do benchmark tests. These PyTorch servers provide an ample compute resource suitable only to the level of academic PyTorch machine learning research.
Recommended config: 8 vCPU VPS, 32GB RAM, 1x RTX 5090
Real-Time Inference & Deployment
Once trained your PyTorch model may be deployed to a specialized PyTorch server to make predictions over REST APIs. This is paramount to auto-pilot systems or chatbots simulation technology, or fraud detection applications that need low-latency inference.
Recommended config: AMD EPYC, 64GB RAM, 1x RTX 5090
AI-Powered Web Apps and Services
Embed PyTorch models into your backend as part of an application vision task, recommendation or NLP application. Deploy PyTorch models with which intelligent web services are powered.
Recommended config: Ryzen 7950X, 64GB RAM, 1x RTX 4090
Edge & Robotics Simulation
In the case of IoT and robotics, PyTorch has become commonplace in simulation, as well as in the training of agents. Strong GPUs on dedicated servers will also guarantee that your PyTorch machine learning models will train in a good manner and will respond promptly to real-life variables.
Recommended config: Dedicated server with 1x A100, 128GB RAM
Medical Imaging & Diagnostics
Apply PyTorch models to such tasks as tumor segmentation, image classification, and anomaly detection. Medical datasets require a large amount of memory and GPU.
Recommended config: EPYC 7402, 256GB RAM, 2x A100
Financial Forecasting and Anomaly Detection
Predict stock trends or anomalous behavior by training time-series models with LSTMs or transformers in PyTorch. The PyTorch gives the flexibility and speed required by financial data pipelines on a dedicated PyTorch server.
Recommended config: Ryzen 7950X, 64GB RAM, 1x RTX 4090
Entry-Level (Good for development and inference)
Perfectly suitable for those who are just beginning to put a PyTorch model in production or those that require an inference execution environment with quick turnaround and low costs, this low-end PyTorch server fits the bill quite well. It is particularly suited to low-intensity machine learning done with PyTorch and validating models in the wild before going big.
Balanced (Ideal for fine-tuning and mid-size training)
This hardware arrangement is excellent in situations where the user desires to optimize an off-the-shelf PyTorch-trained model or execute training training sessions with much memory and graphic processing unit (GPU) ability. Such a balanced PyTorch server can be used in production-level PyTorch machine learning at a reasonable budget.
High-End (Large-scale training and enterprise workloads)
This high-end PyTorch server provides the best performance that users with high volume enterprises or who have large training workloads require. It Promotes the entire cycle of intricate PyTorch machine learning initiatives in an efficient way.
Dedicated Servers (Monthly)
DS-Pro-A100
Targeted at the users who use PyTorch models routinely to tackle serious AI problems, this standalone server allows dual A100s, which are fantastic at deep learning research, model optimization, and production-scale machine learning in PyTorch.
DS-Gamer-4090
Fast and economical PyTorch computer servers to programmers and young companies. It can fit most training tasks and it is ideal whenever you require adopting PyTorch models under cost constraints.
DS-Economy
This affordable option suits backend logic, data preprocessing, or CPU-bound inference tasks before you deploy the PyTorch model to a GPU-enabled instance.
VPS (Hourly & Monthly)
VPS-Medium
It is a good fit in terms of small-scale development and testing since a VPS provides sufficient computing resources to start working on the basic PyTorch models. Just what you need when tinkering or planning to release PyTorch models in production in the future.
VPS-GPU-Lite
A budget-friendly PyTorch GPU supported experiment server. This VPS would be excellent to use in the early-stage machine learning with PyTorch that does not require expensive top-level GPUs.
VPS-GPU-Pro
Instant setup. You can set up servers in minutes thanks to our AI software that is already installed. A lot of the tools are either free or given at a reduced price. You can choose to be billed by the hour or by the month. You can use our servers for everything from small projects to large businesses. You can save up to 40% when you buy a volume or long-term plan.
Select a location, choose server type, and launch your environment - all in just a few clicks.
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