HPE provides an enterprise grade container-based platform – HPE Ezmeral ML Ops. HPE Ezmeral ML Ops supports every stage of ML lifecycle—data preparation, model build, model training, model deployment, collaboration, and monitoring. HPE Ezmeral ML Ops is an end-to-end data science solution with the flexibility to run on-premises, in multiple public clouds, or in a hybrid model and respond to dynamic business requirements in a variety of use cases.

Intel:
To deliver business insights using real-time analytics, enterprises need an end-to-end strategy that optimizes every stage of the data life cycle, from ingestion to archiving, and across the architecture from edge to cloud. Intel’s broad portfolio of technologies, featured in a comprehensive and highly integrated ecosystem of solutions, accelerates data-powered insights. Solutions based on Intel® technology deliver the performance it takes to handle huge data in-memory, plus the flexibility to scale seamlessly up and out on infrastructure you already know and trust.