Vending Machine for Accelerating Data Science Experiments
Organizations embracing machine learning and generative AI rely on platform engineers to provide robust infrastructure for experimentation and collaboration. They need to create an adaptable platform that can support model trials across diverse hardware requirements and compliance standards. Machine Learning practitioners need access to Notebooks with a choice of profiles that offer pre-approved libraries for model development, accelerated compute instances, and persistent storage and utilize technologies such as Ray for unified scaling of data processing, model training and inference workloads.
Learn how platform engineers can leverage Kubernetes, JupyterHub, Ray, and Crossplane to provide a robust data science platform for machine learning experimentation that fosters innovation and drives business value.