HPE and Kyndryl Team Up to Accelerate Private-Cloud AI Adoption

Businesses everywhere are racing to adopt AI but many quickly discover that running AI at scale isn’t as simple as plugging in a new workload. They need secure, high-performance infrastructure, predictable costs, and expert support.

That’s exactly why Hewlett Packard Enterprise (HPE) and Kyndryl have expanded their global partnership, bringing together HPE’s Private Cloud AI portfolio with Kyndryl’s managed services expertise.

And yes, this announcement is real: the collaboration was confirmed publicly by both companies in 2025.

A New Push Toward Enterprise-Ready Private Cloud AI 

Under the expanded partnership, Kyndryl will now deliver managed services for HPE Private Cloud AI solutions, helping customers:

• Deploy AI workloads faster

• Maintain predictable and secure operations

• Scale compute and storage resources efficiently

• Integrate AI into existing hybrid or private cloud environments 2

Rather than building everything alone, enterprises get a fully supported path to modern AI infrastructure.

Why This Partnership Matters for Enterprises

1. Private Cloud AI With Real Operational Support

HPE brings the hardware and platform (think HPE ProLiant servers, HPE GreenLake, and AI-optimized infrastructure). Kyndryl brings 24/7 managed services and configuration expertise. Together, they close the gap between “AI ambitions” and “AI reality.”

2. Flexibility for Regulated or Data-Sensitive Organizations

Industries like healthcare, finance, and government can adopt AI while keeping workloads in a controlled, private environment, rather than pushing sensitive data to the public cloud.

3. End-to-End Lifecycle Support

From planning and deployment to monitoring and optimization, Kyndryl helps organizations run AI infrastructure smoothly, something many IT teams struggle to maintain alone.

4. A Boost for Multi-Cloud and Hybrid Cloud Models

This collaboration fits perfectly into the trend of hybrid AI, where companies combine:

• On-prem private cloud

• Public cloud AI services

• Edge systems

All managed through one unified operating model.

What This Means for the Future of AI Adoption

The HPE–Kyndryl partnership shows a clear direction:
AI is moving from experimentation to enterprise-scale implementation.

And as organizations shift AI models from cloud services to private environments for:

• performance

• compliance

• cost control

…they’ll need ecosystem collaborations exactly like this one.

Expect more integrated, enterprise-grade AI offerings from HPE throughout 2025, especially as hybrid cloud and AI infrastructure become the backbone of modern IT.