Server with TensorFlow

Who Should Use TensorFlow Servers?

If you are creating advanced AI or just getting into machine learning, a hosted TensorFlow environment makes your infrastructure easier and speeds up your work.

The ideal group of users is:

• People creating applications that use machine learning
• People organizing large-scale experiments
• Startups are using TensorFlow AI to launch their MVPs or POCs.
• Businesses building TensorFlow machine learning systems for real-world use

These models can be used for both fast prototyping and for deployment in the long run. With the help of our GPU-powered servers, you have all the tools you need to do deep learning on a large scale.

Order a GPU server fo TensorFlow AI project

Ready to Launch Your TensorFlow Project?

You can easily begin with a TensorFlow server that is already installed. Here's how:

Pick the server that fits your needs: Either a VPS or a dedicated server with GPUs like RTX 4090, RTX 5090, Tesla A100 or H100

Modify your configuration: Set the CPU, RAM and storage according to what your model requires

Go to our software marketplace and choose TensorFlow

You need to register or log in to your HOSTKEY account.

You can either pay monthly or rent by the hour for short-term work.

SSH into your server and commence your TensorFlow AI work.

It takes only a few minutes to set up servers, so you can get started right away.

Pre-installed TensorFlow on you server

TensorFlow Server Use Cases

A hosted TensorFlow server that uses a GPU can be used for many real-life applications.

Recognizing images on the spot

• For detection, classification and segmentation, rely on deep convolutional networks.
• Use TensorRT and CUDA to make your inference process faster.

Natural Language Processing is the field.

• Work on models for analyzing emotions, reducing text and answering questions
• Use TensorFlow to add BERT, GPT and other LLMs to your machine learning applications.

Finance and Predictive Analytics

• Manage model risks, detect fraud and forecast what the market will do
• Run time-series models using TensorFlow’s advanced libraries.

Medical Diagnostics is now being powered by AI.

• Look at the patient’s medical images or records.
• Use pipelines that are secure and meet compliance standards with high GPU capacity

The process includes academic research and prototyping.

• Try using new model designs.
• Include TensorBoard and native tools in the way you perform your research.

GPU Hosting with pre-installed TensorFlow

Global Data Center Locations

HOSTKEY offers servers with pre-installed TensorFlow in:

• The Netherlands
• Germany
• Finland
• Spain
• Italy
• France
• The UK
• Iceland
• Turkey
• USA

Benefits include:

• Low-latency connections across Europe and North America
• GDPR-compliant hosting environments
• Energy-efficient and Tier III+ infrastructure

Order a GPU cloud hosting for TensorFlow machine learning

Pre-Installed and Ready-to-Use ML Stack

You don’t need to waste time configuring your environment. All you have to do is sign up to use our hosted TensorFlow servers.

• TensorFlow, Python, pip, CUDA and cuDNN are already included.
• It is suitable for both training and inference tasks.
• You will have full SSH access and root privileges as part of the service.
• It’s simple to add more frameworks or packages using pip or Docker.

Our solution is more convenient than Google Colab or local machines for several reasons.

• Continuous performance without slowing down
• The ability to change the GPU’s power settings
• There are no conflicts or issues with versions.

Order a GPU server for AI

Why Developers Choose HOSTKEY for TensorFlow Hosting

We have built our infrastructure to handle ML tasks.

• Automated deployment and scaling using the full API
• Customers can choose to pay by the hour or by the month.
• Hardware that can be adjusted for any size project
• Access to both open-source and premium AI tools in our software marketplace
• Servers are ready to use in just a few minutes.

VPS and Dedicated server with GPU cards for AI projects

Best Server Configurations with GPU Cards for TensorFlow Hosting

Choose from our flexible plans with powerful NVIDIA GPUs. All servers include:

• 1Gbps unmetered traffic
• Full root access
• Pre-installed TensorFlow machine learning stack
• Hourly or monthly billing options
• Discounts up to 40%

Dedicated Servers

1. TensorFlow-Dedicated-1

   • CPU: AMD Ryzen 7950X
   • GPU: RTX 4090
   • RAM: 128GB DDR5
   • Storage: 2TB NVMe
   • Port: 1Gbps
   • Price: €720/month | €1.20/hour

2. TensorFlow-Dedicated-2

   • CPU: Intel Xeon Gold 6426Y
   • GPU: Tesla A100
   • RAM: 256GB ECC
   • Storage: 4TB NVMe
   • Port: 1Gbps
   • Price: €980/month | €1.90/hour

3. TensorFlow-Dedicated-Pro

   • CPU: AMD EPYC 9654P
   • GPU: RTX 5090
   • RAM: 512GB DDR5 ECC
   • Storage: 8TB NVMe
   • Port: 1Gbps
   • Price: €1590/month | €3.10/hour

VPS Plans

1. TensorFlow-VPS-Lite

   • vCPU: 8 vCores
   • GPU: Shared RTX 4090
   • RAM: 32GB
   • Storage: 200GB NVMe
   • Port: 1Gbps
   • Price: €110/month | €0.25/hour

2. TensorFlow-VPS-Pro

   • vCPU: 16 vCores
   • GPU: Dedicated RTX 4090
   • RAM: 64GB
   • Storage: 500GB NVMe
   • Port: 1Gbps
   • Price: €210/month | €0.40/hour

3. TensorFlow-VPS-Max

   • vCPU: 24 vCores
   • GPU: Dedicated RTX 5090
   • RAM: 96GB
   • Storage: 1TB NVMe
   • Port: 1Gbps
   • Price: €370/month | €0.72/hour

You will find pre-installed software on each server, instant activation and discounts for premium AI tools. There are many models to pick from, starting with entry-level and going up to business-class.

Get started

Need Help Choosing a Server?

Not sure which server is best for your TensorFlow AI work?

• You can reach out to our experts for a free consultation.
• We will find the right hosted TensorFlow setup for your project.

We make it easy for you to start and expand TensorFlow machine learning jobs, whether you use a simple model or a cluster with multiple GPUs.

Order now