A dedicated hosted version of AI Cloud that is maintained by DataRobot professionals has been made available to the general public by DataRobot. With the benefit of public cloud services, dedicated managed AI cloud offers the most recent DataRobot capabilities to support crucial AI and machine learning projects. It would lower the cost and time-to-value in installing, updating, and administering the AI infrastructure.
A decade of expertise managing mission-critical AI/ML projects for hundreds of clients on-premises, in virtual private clouds, in the public cloud, and in DataRobot multi-tenant SaaS deployments form the foundation of the new DataRobot Dedicated Managed AI Cloud. With this new service, the AI Cloud’s complete capability is extended by giving each DataRobot client access to a managed, dedicated instance of the DataRobot platform running in the cloud.
By relieving team members of administering or maintaining platform upgrades, the newly introduced product would save time and money while still meeting each customer’s needs for security, isolation, and data residency. Each customer’s dedicated managed AI cloud is installed in a distinct, dedicated VPC, and it is managed, monitored, and maintained by DataRobot professionals.
“We’re excited for business leaders to realize the value of DataRobot with this managed offering, which brings together two distinct and significant advantages,” said Venky Veeraraghavan, Senior Vice President, Product, DataRobot. “Customers can focus on driving business results with DataRobot managing the operational elements, while still maintaining their specific security requirements and taking advantage of the cloud’s evergreen deployment and new features.”
Enterprise AI/ML technologies are increasingly essential for today’s enterprises to deliver key business ambitions. To address manpower limitations, organizations may decide to outsource software platform setup, configuration, continuing administration, and maintenance.
“According to a recent Omdia study of more than 400 global AI practitioners, the AI marketplace has reached a critical point of acceleration with more than 25% of companies now looking to scale AI across multiple business units,” said Bradley Shimmin, Chief Analyst for AI platforms, analytics, and data management, Omdia. “This represents a dramatic rise from earlier research favoring departmental deployments. It also foreshadows a substantial uptick in management costs, maintenance complexities, and exposure to risk for many companies electing to continue managing their own infrastructure.”