The Best Open Source AI Software for GPU Servers
If you have a remote server running Ubuntu, equipped with a powerful GPU, lots of RAM, and a fast CPU, you can take advantage of some of the most advanced AI tools on the market. And if you rent a GPU server from Trooper.AI, you can too!
The Definitive Guide to the Best AI Tools for Your Remote Server in 2025
This article provides a comprehensive overview of the best open-source AI tools you can install on your remote server. It covers key categories such as machine learning frameworks, development environments, AutoML, data analysis, NLP, and more. The focus is on how you can maximize the performance of these tools through the use of a dedicated GPU server while maintaining full control over your data and resources. Whether you are engaged in research, development, or business applications of AI, this guide offers valuable insights and practical recommendations to help you harness the full potential of artificial intelligence. Running your own server not only provides higher performance and flexibility but also ensures secure and privacy-compliant work with sensitive data.
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The world of Artificial Intelligence (AI) is evolving rapidly, with new tools constantly emerging to make tasks easier, faster, and more efficient.
If you have a remote server with Ubuntu, a powerful GPU, plenty of RAM, and a fast CPU, you can benefit from some of the most advanced AI tools on the market.
In this article, we present some of the best open-source AI tools you can install on your remote server and explain their features, advantages, and web browser interfaces.
The 10 Most Important Categories
- Machine Learning / Deep Learning Frameworks
- AI Development Environments
- Automated Machine Learning (AutoML)
- Data Analysis and Visualization
- Natural Language Processing (NLP)
- Computer Vision
- Recommendation Systems
- Reinforcement Learning
- Time Series Analysis
- Anomaly Detection
No matter which of these AI topics interests you or is used in your company – with Trooper.AI, you’ve chosen secure AI server providers.
Advantages of AI Servers in the EU
🔒 TOP SECURITY
Our servers are located in Level 3 data centers within the EU (FR, NL, DE) and meet the highest standards. Power supply, backups, access restrictions, separate data networks – everything is covered.
👤 PRIVATE
Your GPU server is exclusively yours – only the high-end hardware limits your team’s AI power. You have 100% access to unrestricted GPU performance.
🚀 NO LIMITS
Your GPU for AI is dedicated solely to you. With us, there are no restrictions on your server – you can install whatever you like.
What AI Tools Are Available for Your Own GPU Server?
In the fast-moving and dynamic field of artificial intelligence (AI) and machine learning, effective tools and frameworks are essential to project success.
At the same time, renting a GPU server can be beneficial to fully leverage the performance of these tools.
The following list provides an overview of a variety of tools used in different areas of AI – from deep learning frameworks to development environments and specialized libraries for computer vision and NLP.
Each of these tools has its own strengths and can help improve the efficiency and accuracy of your work.
🧠 Machine Learning / Deep Learning Frameworks
- TensorFlow – Less user-friendly without TensorBoard for visualization
- Keras – Runs on TensorFlow but offers a simpler interface
- PyTorch – Very flexible and popular in research
🧰 AI Development Environments
- Jupyter Notebook / JupyterLab – Interactive programming and data analysis
- Visual Studio Code – Extensions available for Python and machine learning
⚙️ Automated Machine Learning (AutoML)
- H2O.ai – Platform H2O Flow with web GUI
- Auto-sklearn – AutoML solution based on scikit-learn
📊 Data Analysis and Visualization
- Pandas – Library for data manipulation and analysis
- Matplotlib & Seaborn – Visualization libraries for meaningful charts
💬 Natural Language Processing (NLP)
- NLTK – Library for natural language processing
- SpaCy – High-performance NLP library
Summary
Installing these AI tools on your own GPU server offers numerous advantages. First, using your own GPU server can significantly enhance the performance of these AI tools, as GPUs are known to handle computationally intensive AI processes more efficiently than CPUs. Second, using your own server provides greater control and flexibility in data management and security since data doesn’t have to be sent to external servers. Finally, using your own server can also be more cost-effective depending on how intensively and frequently the AI tools are used.
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