DataRobot recently acquired Agnostic to integrate its open-source orchestrator, Covalent, into DataRobot's MLOps framework. Covalent allows IT teams to manage serverless computing resources efficiently, maximizing infrastructure utilization while integrating AI applications at scale. Venky Veeraraghavan, DataRobot's chief product officer, highlighted Covalent’s ability to operate in hybrid environments and manage AI agents on various processors. With over 5,000 users, the platform decentralizes control from data science teams to IT, emphasizing the integration of AI inference engines with existing DevOps workflows as AI's role expands in organizations.
DataRobot's acquisition of Agnostic enhances its MLOps framework with Covalent, an orchestration platform for optimizing AI application deployment in hybrid IT environments.
Covalent provides a serverless computing solution, allowing IT teams to efficiently manage resources and prioritize processes based on cost and latency constraints.
The integration of Covalent helps organizations deploy AI agents across diverse infrastructures without vendor lock-in, crucial as AI adoption expands.
As the responsibility for AI application management shifts from data science to IT teams, aligning AI deployment with existing DevOps processes becomes increasingly important.
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