# Running LLMs with Kinesis Network Running large language models shouldn’t require navigating fragmented infrastructure, overpaying for idle capacity, or locking into a single cloud. **Kinesis Network** is a unified compute platform designed to simplify and optimize how LLM workloads are deployed, scaled, and managed. It enables developers and teams to access high-performance GPUs on demand, with transparent, True-Util pricing that charges only for what you actually use. Whether you’re fine-tuning models, running inference at scale, or experimenting with new architectures, Kinesis provides a consistent, container-based environment that removes operational friction while maximizing performance, flexibility, and cost efficiency. --- # Agent Instructions: 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: ``` GET https://docs.kinesis.network/getting-started/running-llms-with-kinesis-network.md?ask= ``` The question should be specific, self-contained, and written in natural language. 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.