Wind River Private Cloud Suite Advances Production-Ready AI Across Distributed Private Clouds

Organizations are pushing AI closer to where data is generated — at the edge, in networks, and across distributed environments — in every industry. The efforts are no longer experiments and pilots. They are now in the realm of real-world validation.

But this shift introduces a new set of challenges. AI workloads are data-intensive, latency-sensitive, and operationally complex. Running them effectively requires infrastructure that is not only high-performing but also distributed, resilient, and sovereign-ready.

Wind River® Private Cloud Suite 26.03 is poised to support those needs admirably.

Customer-Driven AI Adoption

AI is starting to be integrated into live network environments, and it signals a broader reality: Organizations are no longer asking whether AI should be deployed; they are asking how to operationalize it reliably at scale.

One example of the transition from AI experimentation to real-world validation is the recent Wind River-Vodafone AI-RAN collaboration. This collaboration demonstrates how AI works within network infrastructure and thus moves intelligence closer to real-time operations. It also represents a fundamental shift:

• AI workloads run alongside RAN functions.
• Real-time decisions are made at the edge.
• Shared infrastructure supports multiple critical workloads.

Ecosystem-Led Innovation

No single vendor can deliver production-ready AI alone. It requires a strong ecosystem across compute, software, and operations. Private Cloud Suite 26.03 continues to expand that ecosystem.

• Intel® enables real-time AI, telco, and enterprise workloads at the edge through a high-performance compute foundation with Intel® Xeon® 6 processors.  
• Advanced Micro Devices (AMD) enables AI and RAN workloads to run on shared infrastructure with high performance and scalability using AMD EPYC-based platforms, which expands Wind River’s hardware flexibility. 
• ServiceNow brings AI-enabled workflow automation into private environments through ServiceNow AI Agents, enabling organizations to automate operations while maintaining full control over data and infrastructure.

Together, these collaborations enable organizations to deploy AI across distributed environments with the flexibility, performance, and operational integration required for real-world use.

Platform Innovation for Production AI

To support this shift, Private Cloud Suite 26.03 introduces platform advancements that operationalize AI and mission-critical workloads at scale.

• Performance backed by service-level agreements for consistent execution of latency-sensitive workloads
• Hardware flexibility across Intel and AMD architectures
• Zero-Trust identity governance with centralized identity and access management (IAM), OpenID Connect, multifactor authentication, and Lightweight Directory Access Protocol and Active Directory integration
• Closed-loop automation for policy-driven lifecycle management and operational consistency
• Multipath storage and data plane resilience for high availability and failover protection
• External storage integration that enables flexible, ecosystem-driven compute and storage modernization

These capabilities enable organizations to move beyond infrastructure readiness and toward operational readiness for AI.

Organizations are no longer asking whether AI should be deployed. They want to know how to operationalize it reliably and keep it running — everywhere.

Business Continuity Across Three Planes

In distributed private cloud environments, business continuity depends on protecting three essential operational planes.

• Data plane: keeps applications and workloads running
• Control plane: ensures that systems remain coordinated and responsive
• Management plane: maintains visibility, governance, and operational control

Remove any one of these, and continuity breaks, although in different ways.

Private Cloud Suite 26.03 strengthens all three planes as a unified system.

• High-performance compute and hardware flexibility ensure consistent workload execution.
• Multipath storage and external storage integration reinforce data plane resilience.
• Closed-loop automation and subcloud rehoming protect control plane continuity.
• Zero-Trust identity governance and centralized IAM strengthen the management plane.

Together, these capabilities enable organizations to run AI and mission-critical workloads reliably at scale, maintaining performance, control, and operational continuity from edge to core.

The Bottom Line

AI is entering a new phase — one defined not by experimentation but by execution.

Organizations need infrastructure that is distributed by design, resilient by default, and open and flexible by architecture. 

Wind River Private Cloud Suite 26.03 brings together customer validation, ecosystem innovation, and platform advancements to help organizations operationalize AI with confidence. From edge to core, it provides the foundation to run mission-critical workloads reliably, consistently, and at scale — everywhere.