Kyndryl Expands Distributed Cloud Services with Google Cloud to Accelerate Sovereign and AI-Ready Application Modernization
New services extend cloud capabilities into customer environments, enabling workloads to run where data, regulatory or performance goals demand
Under the expanded collaboration,
As enterprises scale cloud adoption, many are facing fragmented environments, rising costs and increasing regulatory pressure. At the same time, the growth of data intensive and AI-driven workloads is driving demand for architectures that can operate consistently across distributed environments and meet evolving data sovereignty requirements.
"As data and AI workloads scale, customers are looking for greater control and visibility across their cloud environments," said
"Google Distributed Cloud extends
- Accelerate application modernization through Kubernetes and containerization
- Support data-intensive and AI-driven workloads closer to where data is generated
Together,
For more information about how
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