Anaconda is an ecosystem for Data Science and AI Development.

Server with Anaconda

Anaconda 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 Anaconda - a free and open-source ecosystem for Data Science and AI development. Simply choose the right plan, configure a server and start working in just 15 minutes.

Already installed - we have taken care of all the technical aspects
Fine-tuned server - high performance configurations optimized for Anaconda
Supported 24/7 - we are always ready to help

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SERVERS In action right now 5 000+

How it works

Choose server and license

Choose a suggested server or make a custom configuration. During the ordering process, select the Anaconda license, network settings and other parameters.
Place an order

After placing and paying for the order, we will contact you and let you know the exact time the server will be ready. The delivery time for the server depends on its type, but usually, everything takes no more than 15 minutes.
Start working

When the server is ready, we will send all the access details to your email. Anaconda will already be installed and ready to go.

Get Anaconda pre-installed on Virtual (VPS) or Dedicated Servers

Anaconda is provided only for leased HOSTKEY servers. To get the Anaconda license, select it in the "Software" tab while ordering the server.

Anaconda on Virtual (VPS) Servers

Rent a reliable VPS in the Netherlands, Finland, Germany, Iceland, Turkey and the USA.

Server delivery ETA: ≈15 minutes.

Choose a VPS server

Anaconda on Dedicated Servers

Rent a Dedicated Server with full out-of-band management in the Netherlands, Finland, Germany, Turkey and the USA.

Server delivery ETA: ≈15 minutes.

Choose a dedicated server

Anaconda® Distribution — official free plan

Anaconda is an open ecosystem for Data Science and AI Development. You can learn more about its licensing and paid restrictions in the official Anaconda Term Of Service.

We guarantee that our servers are running safe and original software.

FAQ

How to install Anaconda on a Virtual or Dedicated Server?

To install Anaconda, 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.

I am having trouble installing and/or using Anaconda

If you have any difficulties or questions when installing and/or using the software, carefully study the documentation on the official developer website, read about typical problems and how to solve them or contact Anaconda Support.

What’s the difference between Anaconda server and Miniconda?

Anaconda is a complete Python distribution that includes more than 1,500 scientific packages, JupyterLab, and conda pre-installed, so it is best suited to users who want everything in place. Miniconda, on the other hand, installs the bare minimum of conda environment and it is up to the user to install packages one by one. Anaconda is ideal in quick installations and ready-to-use development environments whereas Miniconda is ideal to the advanced users who would like to have maximum customization.

Can I access my Anaconda environment remotely?

Yes, you can access your Anaconda web server via any web browser, so you have access to JupyterLab and other tools without needing any local installation. To gain more control, SSH access is also provided, where advanced users can control files, processes, and environments directly in the terminal.

Is it possible to use GPU acceleration with my Anaconda server?

Definitely. We have servers that support NVIDIA GPUs such as RTX 4090, 5090, A100, and H100. They are perfect in machine learning, data processing, and any applications that support CUDA. The GPU drivers and CUDA libraries are pre-configured, and thus you can use frameworks such as TensorFlow or PyTorch out-of-the-box.

Can I create multiple Python environments on the server?

Yes. Using conda, you can simply set up numerous isolated environments, each having its own Python version and a list of packages. This is especially beneficial when dealing with various projects with distinct dependencies or when testing version compatibility.

Is this suitable for teams or just individual use?

It fits the two situations. The teams will have access to centralized resources and collaborative development where they share server access. Meanwhile, individual users have complete freedom of their environments and workloads and are flexible and performative under any use case.

Anaconda key features

Anaconda is an open ecosystem for sourcing, building, and deploying Data Science and AI initiatives. It is used to create an environment for many different versions of Python and package versions.

Comprehensive Package Manager

Anaconda includes Conda, a powerful package manager that handles package installation, updates, and dependencies, making it easy to manage libraries and software.

Environment Management

Conda also allows users to create, manage, and switch between different project environments, ensuring that dependencies for different projects do not conflict.

Pre-built Packages

Anaconda comes with over 1,500 pre-built data science packages, including popular ones like NumPy, pandas, Matplotlib, and SciPy, making it easier to set up a working environment quickly.

Jupyter Notebooks

Anaconda includes Jupyter Notebook, a popular web-based interactive computing environment that allows users to create and share documents containing live code, equations, visualizations, and narrative text.

Integrated Development Environment (IDE)

Anaconda comes with the Spyder IDE, which is specifically designed for Data Science and provides a powerful, interactive development environment.

Cross-Platform Compatibility

Anaconda is available on Windows, macOS, and Linux, providing a consistent experience across different operating systems.

Data Science Libraries

It includes essential libraries for Machine Learning and Data Analysis, such as scikit-learn, TensorFlow, and Keras, allowing for comprehensive data-science workflows.

Community and Enterprise Support

Anaconda provides extensive documentation and has a large community of users and contributors. There is also an enterprise version with additional features and support for professional use.

Scalability and Performance

Anaconda supports parallel processing and integrates well with distributed computing frameworks, making it suitable for large-scale data-science projects.

Get pre-installed Anaconda

on servers located in data centers across Europe, the USA, and Turkey.

Why choose an Anaconda server at HOSTKEY?

TIER III Data Centers

Top reliability and security provide stable operation of your servers and 99.982% annual uptime.
DDoS protection

The service is organized using software and hardware solutions to protect against TCP-SYN Flood attacks (SYN, ACK, RST, FIN, PUSH).
Round-the-clock technical support

The application form allows you to get technical support at any time of the day or night. First response within 15 minutes.

What customers say

After launching another successful IP — HUNT: Showdown, a competitive first-person PvP bounty hunting game with heavy PvE elements, Crytek aimed to bring this amazing game for its end-users. We needed a hosting provider that can offer us high-performance servers with great network speed, latency, and 24/7 support.

Stefan Neykov Crytek

doXray has been using HOSTKEY for the development and the operation of our software solutions. Our applications require the use of GPU processing power. We have been using HOSTKEY for several years and we are very satisfied with the way they operate. New requirements are setup fast and support follows up after the installation process to check if everything is as requested. Support during operations is reliable and fast.

Wimdo Blaauboer doXray

We would like to thank HOSTKEY for providing us with high-quality hosting services for over 4 years. Ip-label has been able to conduct many of its more than 100 million daily measurements through HOSTKEY’s servers, making our meteorological coverage even more complete.

D. Jayes IP-Label

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Who Needs an Anaconda Remote Server?

Data scientists working with multiple environments

The ability to juggle versions and isolated environments of Python is essential to the data science workflows. This is simplified by having a pre-installed Anaconda remote server that provides isolated, GPU-ready environments with no configuration overhead.

Developers deploying Jupyter and Spyder remotely

A lot of contemporary development stacks revolve around remote coding tools such as Jupyter and Spyder. They are smoothly run on our Anaconda web server, which is powered by powerful GPUs and is always available.

Teams running resource-heavy Python workflows on dedicated hardware

Whether it is deep learning, scientific computing or anything in between, with serious compute requirements, an Anaconda server using high-performance hardware can provide predictable and scalable performance, without bottlenecks shared by other users.

Real-World Applications of an Anaconda Remote Server

Machine learning and AI model development

Anaconda servers are pre-installed and provide an ideal training environment of ML models, as it is pre-loaded with TensorFlow, PyTorch, and scikit-learn libraries. Recommended configurations:

Tesla A100 / H100 for large-scale AI training

RTX 4090 / 5090 for mixed workloads with excellent price-performance

Educational platforms and remote training labs

Conduct real-life training and labs online. JupyterLab can be accessed through the Anaconda web server and students have the ability to work in isolated environments and enjoy persistent cloud-based infrastructure.

Distributed data analysis with full environment control

Software dependencies should be controlled when one is dealing with large datasets. Your Anaconda remote servers provide you with complete root access, isolated conda environments, and any desired package can be installed.

Benefits of a Self-Hosted Anaconda Web Server

Total control over packages and dependencies

Avoid incompatibility. Install any Python, R or a library version. Do all the management using Conda or pip without limitations.

Always-on access to other tools

Remotely use JupyterLab, Spyder, RStudio, and even Visual Studio Code. No need to run anything locally or to configure VPNs.

No limits, no shared environments, no session timeouts

In contrast to common platforms, a dedicated Anaconda server will provide you with continuous access to your work. Perfect when the job is long-running or continuous experimentation.

Anaconda Server vs Local Installation

Faster performance with dedicated resources

Run notebooks and scripts on RTX 4090, A100 or H100-enabled infrastructure. These set ups cannot be matched by any local hardware.

Run notebooks and pipelines from any location

Log in to your Anaconda remote server anywhere in the world using SSH or through the Anaconda web server interface via the browser.

Centralized access for collaborative teams

Have all your team log in to the same server, but in their own environment. Ideal when shared, or in a school setting.

Launch Your Anaconda Server in Minutes

No setup required - all pre-installed

Skip installation. In our marketplace, we have ready-to-use images that have Anaconda server, JupyterLab, and CUDA toolkits.

Choose a server, get access, start coding

The servers are installed within minutes. Gain SSH and web access now. Simply sign in and code.

Ideal for beginners and enterprise users alike

No matter whether you are a beginner in Python or a team leader of several data science teams, our plans grow with you. It is cheap to people. Strong to businesses.

Plans with Pre-installed Anaconda Server on GPU-Servers

Dedicated Servers (Monthly Plans)

AI Pro 4090
- CPU: AMD Ryzen 7950X
- GPU: NVIDIA RTX 4090
- RAM: 128GB DDR5
- Storage: 2TB NVMe
- Port/Traffic: 1Gbps
- Price: €490/month
AI Max 5090
- CPU: Intel Xeon Gold 6338
- GPU: NVIDIA RTX 5090
- RAM: 256GB ECC DDR4
- Storage: 4TB NVMe
- Port/Traffic: 1Gbps
- Price: €690/month
AI Ultra H100
- CPU: AMD EPYC 9654
- GPU: NVIDIA H100 80GB
- RAM: 512GB DDR5
- Storage: 8TB NVMe
- Port/Traffic: 1Gbps
- Price: €1,800/month

VPS Plans (Hourly and Monthly)

VPS-4090-8
- CPU: 8 vCPU
- GPU: RTX 4090
- RAM: 32GB
- Storage: 200GB NVMe
- Port/Traffic: 1Gbps
- Price: €0.45/hour or €250/month
VPS-5090-16
- CPU: 16 vCPU
- GPU: RTX 5090
- RAM: 64GB
- Storage: 500GB NVMe
- Port/Traffic: 1Gbps
- Price: €0.80/hour or €430/month
VPS-A100-32
- CPU: 32 vCPU
- GPU: Tesla A100
- RAM: 128GB
- Storage: 1TB NVMe
- Port/Traffic: 1Gbps
- Price: €1.50/hour or €950/month

All servers are deployed in minutes. Select our marketplace with pre-installed Anaconda servers and other software packages such as Docker, CUDA, TensorFlow, and others. Most of the apps are free, and the premium ones have up to 40 percent discount