Kyndryl has expanded its distributed cloud services in collaboration with Google Cloud. This initiative aims to help organizations accelerate their transformation with artificial intelligence and modernize their applications in private cloud environments, on-premise data centers and edge computing, reinforcing strategies based on distributed cloud.

Kyndryl experts will work with customers to integrate Google Distributed Cloud (GDC) with Kubernetes-based application modernization through Google Kubernetes Engine (GKE). This will enable organizations to run cloud-native workloads in environments that best meet their data sovereignty, compliance and performance needs, leveraging the capabilities of the distributed cloud while maintaining control over the location and management of their data.

Capabilities to operate in distributed environments

This announcement responds to the needs of companies advancing in the adoption of the cloud, which are facing increasingly fragmented environments, increasing costs and greater regulatory demands. In parallel, the exponential growth of data and AI-powered workloads is driving the need for distributed cloud architectures capable of operating consistently in distributed environments and meeting data sovereignty requirements.

In this context, the collaboration between Kyndryl and Google Cloud continues to consolidate at a global level, with a shared commitment to distributed cloud models that facilitate resilience, scalability and compliance. Recently, Kyndryl has been recognized with five Google Cloud Partner of the Year 2026 awards, which highlight its impact, capacity for innovation and commitment to the success of its clients in different regions and key areas such as infrastructure modernization and talent development.

Kyndryl distributed cloud services provide a unified operating model that standardizes governance, security, and lifecycle management across all environments. This distributed cloud approach allows you to run workloads locally using Google Distributed Cloud to meet data sovereignty, latency, and residency requirements.

Additionally, the distributed cloud gives organizations the flexibility to locate and move workloads between on-premise, private cloud, and public cloud environments as their needs evolve. To support the modernization of Kubernetes- and container-based applications, solutions like Gemini Enterprise act as intelligent assistants that simplify processes, reduce complexity, and accelerate adoption within distributed cloud strategies.

With this evolution, Kyndryl strengthens its proposal to help companies design, deploy and manage distributed cloud architectures prepared to support critical loads, AI initiatives and new hybrid operating models.