Kyndryl Expands AI Capabilities with New Private Cloud Offering

Kyndryl has launched a new suite of AI Private Cloud services aimed at simplifying the deployment and management of enterprise AI solutions. This offering combines consulting support and technical capabilities, helping organizations design, prototype, and operationalize AI workloads in secure, performance-optimized environments.

The services are structured to support the full lifecycle of AI adoption. From identifying impactful use cases to confirming production readiness, Kyndryl Consult works with customers to select the right deployment model and cloud configuration aligned to their business goals. These services extend to infrastructure design and build, as well as integration with data pipelines, containerization, and microservices for AI application delivery.

The new portfolio builds on Kyndryl’s partnerships with NVIDIA and other ecosystem collaborators, including a recently deployed AI Private Cloud in Japan using Dell’s AI Factory. This global alignment enables scalable infrastructure that supports high-performance training and inference—spanning both public and private environments.

The solution is designed with flexibility in mind, enabling deployment across industries. Financial institutions can leverage it for fraud detection and regulatory compliance. Healthcare providers can manage sensitive data securely while improving diagnostics. Manufacturers can apply predictive maintenance and digital twin simulations. Across all these use cases, Kyndryl’s MLOps and LLMOps services provide a foundation for sustainable AI development and ongoing optimization.

By offering a unified, enterprise-grade environment, Kyndryl addresses a critical gap between AI ambition and implementation readiness. Organizations benefit from enhanced data control, regulatory compliance, and streamlined development—bringing AI from proof of concept to production with reduced complexity.