Dell EMC, a prominent provider of full-stack solutions, and Comet, a leader in meta machine learning experimentation platforms, have collaborated to create a reference architecture designed to enhance data science teams' efficiency by leveraging Dell EMC infrastructure alongside Comet's platform. The architecture enables faster deployment of AI workload-optimized systems, significantly cutting down the time required compared to traditional design and deployment methods. It utilizes Dell EMC's AI-Enabled Kubernetes solution supported by Canonical's Charmed Kubernetes and Kubeflow. Comet's platform offers features such as automatic tracking of metrics, hyperparameter optimization, and full code tracking, improving the speed and collaboration of data science research. This collaboration promises to streamline machine learning workflows, providing scalable, robust, and flexible deployment options, with detailed information and support available through a whitepaper authored by both companies.