Ready Server, a Singapore-based VPS hosting provider, has launched the ReadyServer LLM API, offering private AI inference at no extra cost to all VPS customers. This move aims to address the rising costs of AI inference for developers and small teams.
TL;DR
- Ready Server introduces a free, OpenAI-compatible LLM API for all VPS customers, eliminating per-token billing and API keys.
- The API operates over Ready Server's private network, offering two open models with large context windows and tool-calling capabilities.
- This launch targets the growing cost concerns for teams building AI applications, providing a predictable and affordable inference solution.
What happened
Ready Server has launched the ReadyServer LLM API, a private, OpenAI-compatible AI inference API included with every ReadyServer VPS plan at no additional cost. The service allows developers to build AI agents, chatbots, and other AI-driven applications directly from their existing ReadyServer VPS. There are no API keys to manage and no per-token billing, addressing the growing cost problem for teams building with AI. According to Gartner, AI inference costs per agentic workflow are projected to grow more than fivefold through 2028.
The API follows the OpenAI standard, enabling developers to use existing code, SDKs, and frameworks by simply changing the base URL. At launch, the service offers two open models served with vLLM: Qwen3.6-27B-FP8, designed for fast, direct responses with a 131,072-token context window, and Qwen3.8-27B-FP8, a reasoning model with a 262,144-token context window. Both models support tool calling, structured JSON output, and image input, making them suitable for various AI applications.
Why it matters
This launch is significant for developers and small teams who often face high costs and inefficiencies when using metered APIs or dedicated GPU servers. Ready Server's shared AI inference infrastructure allows customers to access powerful AI capabilities without the need for dedicated hardware, making it a cost-effective solution for periodic inference jobs. Alan Woo, Director of Ready Server, emphasized that the new API aims to provide a predictable and affordable way for developers to experiment and iterate with AI applications.
The ReadyServer LLM API operates on a fair-share policy, ensuring that no single workload crowds out other users. During peak demand, requests are queued, and customers who have used fewer tokens are served first. This approach helps maintain a balanced and efficient use of resources among all VPS customers. The API is available now to all ReadyServer VPS customers, with documentation and a quickstart guide available at readyserver.ai.
Key facts
- ReadyServer LLM API is included with every ReadyServer VPS plan at no additional cost.
- The API is OpenAI-compatible, allowing developers to use existing code, SDKs, and frameworks.
- Two open models are available at launch: Qwen3.6-27B-FP8 and Qwen3.8-27B-FP8, both with tool-calling capabilities and large context windows.
- The API operates over Ready Server's private network, ensuring secure and efficient data transfer.
- ReadyServer LLM API follows a fair-share policy to manage resource usage during peak demand.
- The service is available now to all ReadyServer VPS customers, with documentation and a quickstart guide available at readyserver.ai.
- Ready Server was founded in 2015 and operates data centers in Singapore, Hong Kong, and Tokyo.
- The company offers flexible per-hour billing and unmetered bandwidth designed for demanding digital workloads.
Context
The launch of the ReadyServer LLM API comes at a time when the demand for AI-driven applications is rapidly increasing. Developers and small teams often face challenges in managing the costs associated with AI inference, particularly as applications move from simple chat prompts to more complex agentic workflows. Ready Server's new API addresses these challenges by providing a cost-effective and efficient solution for AI inference, making it easier for developers to build and deploy AI applications.
This move also highlights the growing trend of integrating AI capabilities into existing infrastructure services. By offering a private, OpenAI-compatible API, Ready Server enables its customers to leverage advanced AI models without the need for additional hardware or complex setups. This approach not only simplifies the development process but also ensures that AI applications can be seamlessly integrated into existing workflows.
As the AI landscape continues to evolve, the demand for accessible and affordable AI inference solutions will only grow. Ready Server's initiative sets a precedent for other hosting providers to follow, potentially leading to a more competitive and innovative market for AI-driven services.