METHOD AND SYSTEM FOR MAKING AN ARTIFICAL INTELLIGENCE INFERENCE USING A WATERMARK-ENABLED KERNEL FOR A DATA PROCESSING ACCELERATOR

In one embodiment, a computer-implemented method performed by a data processing (DP) accelerator, includes receiving, at the DP accelerator, first data representing an artificial intelligence (AI) model that has been previously trained from a host processor and a set of input data; receiving, at the DP accelerator, a watermark kernel from the host processor; and executing the watermark kernel within the DP accelerator on the AI model. The watermark kernel, when executed, is configured to: perform inference operations of the artificial intelligence model based on the input data to generate output data, and implant the watermark within the output data. The DP accelerator then transmits the output data having the watermark implanted therein to the host processor.