Pre-installed AI LLM models on high-performance GPU instances
Order a server with pre-installed software and get a ready-to-use environment in minutes.
Open source LLM from China - the first-generation of reasoning models with performance comparable to OpenAI-o1.
Google Gemma 2 is a high-performing and efficient model available in three sizes: 2B, 9B, and 27B.
New state of the art 70B model. Llama 3.3 70B offers similar performance compared to the Llama 3.1 405B model.
Phi-4 is a 14B parameter, state-of-the-art open model from Microsoft.
PyTorch is a fully featured framework for building deep learning models.
TensorFlow is a free and open-source software library for machine learning and artificial intelligence.
Apache Spark is a multi-language engine for executing data engineering, data science, and machine learning on single-node machines or clusters.
Open ecosystem for Data science and AI development.
Self-hosted AI Chatbot:
Pre-installed on your VPS or GPU server with full admin rights.
Get Top LLM models on high-performance GPU instances
On an hourly basis you can rent the following servers:
Yes, all virtual and preconfigured dedicated GPU servers are available for rent on an hourly basis.
All our services are paid for in advance. We accept payments via credit card, PayPal, P2P cryptocurrency payments from any wallet, application or exchange through BitPay. We also accept WebMoney, Alipay and wire transfers. Read more about our payment terms and methods. Read more about payment terms and methods.
We are very confident in our products and services. We provide fast, reliable and comprehensive service and believe that you will be completely satisfied.
You can ask for a test server for 3-4 days for free.
Refund is only possible in case of an accident from our side with your server being offline for 24 hours or more due to that.
Read more about refund procedure.
Customers whose servers come with unlimited bandwidth are committed to a fair usage policy.
That means that servers on the 1 Gbps port cannot use more than 70% of the allocated bandwidth for more than 3 hours a day.