Kyndryl, the world’s largest IT infrastructure services provider, has announced the expansion of its Distributed Cloud services in partnership with Google Cloud. The collaboration is designed to help enterprises modernize applications and scale AI workloads across private clouds, on-premises data centers, and edge environments. By providing end-to-end consulting and managed services, Kyndryl enables organizations to run cloud-native workloads while meeting strict data sovereignty, regulatory, and performance requirements.
Unified Operating Model: Kyndryl provides a standardized framework for governance, security, and lifecycle management across hybrid and multicloud environments.
Google Distributed Cloud (GDC) Integration: Helps enterprises run Google Cloud infrastructure and services directly in their own local environments.
Modernization with GKE: Leverages Google Kubernetes Engine (GKE) to support container-based application modernization.
AI-Driven Support: Integrates Gemini Enterprise as an intelligent assistant to reduce complexity and accelerate the adoption of distributed architectures.
Sovereignty & Compliance: Specifically addresses data residency and low-latency needs for regulated industries and data-intensive workloads.
End-to-End Services: Covers the full lifecycle from initial consulting and implementation to ongoing managed operations.
As enterprises adopt AI at scale, many struggle with fragmented environments and rising costs. Kyndryl’s Distributed Cloud services address these challenges by standardizing how workloads are managed, regardless of where they reside. This allow organizations to maintain the flexibility of the public cloud while keeping sensitive data on-premises or at the edge to meet regulatory mandates.
"As data and AI workloads scale, customers are looking for greater control and visibility across their cloud environments," said Giovanni Carraro, Global Strategic Alliances Leader at Kyndryl. "Together with Google Cloud, we're helping enterprises modernize applications and operate more effectively across distributed environments — without compromising performance or compliance."
The growth of data-intensive AI workloads requires architectures that can operate close to where data is generated. Google Distributed Cloud extends Google’s advanced AI services into these local environments, while Kyndryl’s experts manage the underlying complexity. This partnership ensures that public cloud-native capabilities are available even when public cloud alone cannot meet operational or latency requirements.
"Google Distributed Cloud extends Google Cloud infrastructure, advanced AI and services directly into customer environments," said Eliot Danner, Managing Director, Google Distributed Cloud. "Together with Kyndryl, we're enabling organizations to run applications where public cloud alone cannot meet customers' regulatory, latency, or operational requirements."
Through this expanded collaboration, Kyndryl and Google Cloud are helping the world’s most complex organizations accelerate innovation and enhance operational resilience while maintaining a clear path to cost efficiency.
Kyndryl (NYSE: KD) is the world’s largest IT infrastructure services provider, serving thousands of enterprise customers in more than 60 countries. The company specializes in designing, building, managing, and modernizing the mission-critical information systems that power the global economy.
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