> For the complete documentation index, see [llms.txt](https://infronai.gitbook.io/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://infronai.gitbook.io/docs/llm-inference-handbook/llm-inference-basics/what-is-server-based-inference.md). # What is Server-based inference? Server-based inference gives you granular control over model selection, optimization techniques, and hardware configuration—ideal for specialized models with unique dependencies or when you need guaranteed performance at predictable costs. Server-based solutions excel at supporting computationally intensive applications like real-time audio generation, automatic speech recognition (ASR), and high-resolution image creation that require specialized hardware acceleration. These resource-intensive use cases often demand custom GPU configurations and fine-tuned environments that can only be optimized effectively on dedicated infrastructure where latency and throughput can be precisely controlled. Teams with specific compliance requirements, existing infrastructure investments, or consistent high-volume workloads may find server-based deployments more economical in the long run despite the upfront work.\ --- # Agent Instructions This documentation is published with GitBook. GitBook is the documentation platform designed so that both humans and AI agents can read, navigate, and reason over technical content effectively. Learn more at gitbook.com. ## Querying This Documentation If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question. Perform an HTTP GET request on the current page URL with the `ask` query parameter, and the optional `goal` query parameter: ``` GET https://infronai.gitbook.io/docs/llm-inference-handbook/llm-inference-basics/what-is-server-based-inference.md?ask=&goal= ``` `ask` is the immediate question: it should be specific, self-contained, and written in natural language. `goal` is optional and describes the broader end goal you are ultimately trying to accomplish on behalf of the user. GitBook uses it to tailor the answer towards what is most useful for that goal. The response will contain a direct answer to the question and relevant excerpts and sources from the documentation. Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.