> For the complete documentation index, see [llms.txt](https://teslaai-1.gitbook.io/tesla-ai/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://teslaai-1.gitbook.io/tesla-ai/company/team-introduction/provide-training-solutions-for-model-algorithms.md). # Provide Training Solutions for Model Algorithms TES AI provides a one-stop solution for clusters, incorporating underlying technologies such as GPU topology awareness, affinity scheduling, and high parallel file systems, supporting multiple model training methods, compatible with mainstream AI frameworks, and extending and customizing the industry's mainstream distributed training solutions to improve the amount of training data and shorten the model delivery cycle; providing a customized algorithm framework, using code generation and other methods, and providing a rich set of built-in operators. It also provides a customized algorithm framework, which uses code generation and other methods, and provides rich built-in algorithms to simplify the steps of data set import, feature engineering processing, and pre-training model dependency to improve AI training development efficiency; for training in a distributed environment with large models, ZeRo and other technologies are used for memory optimization to break the gap between display memory and RAM memory and reduce the display memory overhead of training. --- # 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://teslaai-1.gitbook.io/tesla-ai/company/team-introduction/provide-training-solutions-for-model-algorithms.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.