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Open-source LLM (Large Language Models) are AI models designed for natural language processing that are freely available for use, modification, and distribution. These models allow developers and researchers to build, use, and fine-tune language-based applications while promoting transparency and collaboration in the AI community. Get your ready-to-go LLM model on a personal GPU server in just a few clicks.
Open source LLM from China - the first-generation of reasoning models with performance comparable to OpenAI-o1.
A powerful free LLM from China with 70 billion parameters, designed for high-performance reasoning, coding, and general text tasks.
Google Gemma 3 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.
Free Alibaba's performant long context models for agentic and coding tasks.
Free OpenAI’s open-weight model designed for powerful reasoning, agentic tasks, and versatile developer use cases.
Free OpenAI’s LLM-model with 120 billion parameters designed for powerful reasoning, agentic tasks, and versatile developer use cases.
Free and self-hosted AI Chatbot built on Ollama, Lllama3 LLM model and OpenWebUI interface.
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Today, there is no problem renting a dedicated server in one of three possible locations: the Netherlands, the USA, and Russia. We offer many different builds and configurations, including those with GPU cards. We can deliver servers with individual configurations and, if necessary, we can even purchase special hardware to meet the customers’ needs. There are turn-key servers with instant delivery which can be online a few minutes after receipt of payment. They are built the most popular and well-balanced configurations. They are waiting and ready to go in their rack at our data centers. They are activated by our automated system, and you are free to install any necessary software according to your wishes.
The best servers are made by leading manufacturers such as DELL, HP, AMD, Intel, Gigabyte, and NVIDIA. We cooperate closely with these enterprises. Also, we update our fleet of servers and network equipment regularly. Moreover, all servers undergo multi-level testing before their entry into service.
It is an assembly of computer hardware and software mainly aimed at ensuring the best operating parameters for any number of devices or particular apps. Its importance is in its provision of a range of capabilities. For instance, they allow clients to share various resources or data. Today, a single server can provide a wide range of services to multiple users, or indeed many servers can deliver services to just one user.
The cost of dedicated servers depends on their components. There are expensive and powerful servers with high-end processors of the latest generations, huge hard drive capacities, and so on. In contrast, there are cheap servers whose rental price starts from approximately 25 Euros per month. These are suitable for individuals and small projects. You can choose what you need from a list of preconfigured servers. Also, it is possible to build your own custom model using our online configuration wizard according to your specific needs.
The price is positioned based on the configuration and the rental period of the given server. The longer the term, the higher the discount can be. The lowest rental price is 25 Euros per month, but the average cost is about 100 Euros monthly. However, it is possible to rent high-performance servers that cost 600 Euros or more. The most cost effective build all depends on the purpose for which it is to be used.
Open-source LLMs are large language models which users can modify through open-source licensing for multiple applications without any constraints.
Your choice of best model depends on your requirements between Llama for broad AI applications and DeepSeek for NLP efficiency and Gemma for multilingual operations and Phi for logical reasoning and AI scholarly work.
Open source large language models offer greater flexibility, customization, and cost savings, but may require more expertise for fine-tuning and deployment compared to proprietary, fully managed AI solutions.
A high-performance GPU server allows you to fine-tune an open-source LLM through data implementation for better execution of particular operations.
Users need to have at least an NVIDIA RTX 4090 GPU in order to run their programs. The most efficient performance for big-scale AI processing comes from Tesla A100 or H100 GPUs.
The security status of your system depends on the environment where the hosting takes place. HOSTKEY delivers GPU servers which maintain isolated protected data areas that meet all industry security requirements.
Open-source LLMs function as AI-driven text generation models which developers can access and modify under open-source licenses to freely deploy them. Open-source LLMs provide the processing power needed for chatbots as well as content generation and code assistance and multiple AI applications.
The three primary technical components of open-source LLMs include their transformer-based design and dependence on GPU acceleration and their capability for customization.
Open source LLM deployment demands high-performance hardware that should include GPUs specialized for AI processing. HOSTKEY determines that the optimal price-to-performance combination results from:
Open-source LLM servers provide several advantageous features to users.
As part of our service HOSTKEY provides the most powerful open source LLMs that we install on high-performance GPU servers for immediate use. Each model is optimized for specific use cases, including the following:
Hostkey provides you with ready-to-use open source LLMs on GPU servers which become available immediately after server deployment.
Flexible Pricing & Server Configurations
Starter Plan:
Advanced Plan:
Professional Plan:
Enterprise Plan:
Ultimate Plan:
Additional Benefits:
Choose your GPU server:
Select a GPU server that includes multiple NVIDIA-powered configuration options such as 4090, 5090, A100 and H100.
Order and pay:
Flexible billing options, including hourly and monthly plans that will suit your needs and not exceed your budget.
Instant/Immediate access:
The system provides immediate access to run your open-source LLM from the moment you acquire it.
Easy integration:
You can easily integrate our open-source LLM hosting with your existing systems and workflows with minimal efforts.
The NVIDIA RTX and Tesla GPUs function as specialized units to bring out maximum potential during both model training operations and inference operations. These GPUs provide continuous execution of deep learning models and significantly reduce the processing time.
The processing speed of ultra-fast NVMe SSDs delivers immediate data operation results. It improves the overall system responsiveness and minimizes the latency in AI-driven apps.
The system comes prepared with PyTorch, TensorFlow and CUDA software for straightforward implementation of artificial intelligence technology. This allows developers to focus on innovations rather than setup.
Additional Features:
Where to Use Open-Source LLM Servers
Chatbots & Virtual Assistants – Automated customer support and communication, improved user interaction with human-like responses
The system produces high-quality written content along with summary reports and textual information. It is ideal for creating articles, copywriting and automated documentation.
The tools provided by AI assist developers with coding along with debugging functions.
Data Analysis & Research – Designed for Advanced analytics and trend prediction, they process larger that usual datasets and patterns for AI decision making
Machine Learning Experimentation – Train and fine-tune AI models efficiently and optimize model performance with high-speed computation
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