Kyndryl launches private cloud services for enterprise AI deployments

Kyndryl’s AI Private Cloud environment includes services and capabilities around containerization, data science tools, and microservices to deploy and manage AI applications on the private cloud. The service supports AI data foundations and MLOps/LLMOps services, letting customers manage their AI data pipelines and machine learning operation, Kyndryl stated. These tools facilitate development, testing and deployment of AI models.

Consulting services are also part of Kyndryl’s AI Private Cloud service, and they’re aimed at helping customers identify effective AI use cases and design and build AI prototypes. The ultimate goal is to help enterprise customers build a managed infrastructure-as-a-service private cloud to develop and deploy production AI applications.

The Kyndryl Private AI Cloud service will compete with private cloud offerings from AWS, Google Cloud, HPE, Microsoft Azure, Oracle and others.