# From Raw Data to Production Inference The full pipeline from data to deployment: ``` Raw Data → Upload to Cluster data marketplace → Pin to IPFS, mint as NFT (verifiable ownership) → Select as training data for fine-tuning job → Fine-tune base model on Cluster compute → Fine-tuned model deployed to inference API → Consumers call the model via API → Creator earns from dataset purchases AND model usage ``` This end-to-end loop is unique to Cluster. No other platform connects data tokenization, model training, and inference serving in a single integrated flow where value attribution is preserved at every stage. --- # 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://cluster-protocol.gitbook.io/whitepaper/custom-model-hosting-and-fine-tuning/from-raw-data-to-production-inference.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.