~/talk

Boost ML on Heterogeneous AI Accelerator with Ray on K8s

slides:none on file

Describes integrating transparent backend acceleration technologies into Ray running on Kubernetes to automatically boost ML performance on heterogeneous AI accelerators. Names ML graph compilers such as TVM, Intel OpenVINO and NVIDIA TensorRT and explains using them together with Ray on k8s to provide unified software acceleration for diverse vendor accelerators without requiring code changes to user applications.

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