As enterprises increasingly push artificial intelligence closer to where data is created, Wipro and Nutanix announced a strategic collaboration to accelerate Edge AI adoption at enterprise scale.
Wipro nBLUE laid the foundation for edge modernization powered by Nutanix. Now, with WINGS, Wipro’s AI-powered platform for enterprise operations and Nutanix AI, we are taking the next step—bringing AI to the edge. This transforms edge infrastructure into intelligent, autonomous, real-time decision-making and business outcome-driven environments.
This collaboration addresses one of the most pressing challenges enterprises face today—operationalizing AI at the edge without introducing complexity, risk, or fragmentation.
Edge AI: Where Enterprise AI Becomes Operational
AI is no longer limited to centralized data centers or cloud environments — it is rapidly moving to the edge, where real-time decisions matter most. From factory floors and hospitals to retail stores, logistics hubs, and financial branches, organizations need intelligent, low-latency AI capabilities closer to where data is generated.
However, deploying AI at the edge comes with significant challenges, including constrained infrastructure, intermittent connectivity, strict latency requirements, data sovereignty, and the complexity of managing thousands of distributed locations.
The joint Edge AI solution from Wipro and Nutanix is purpose-built to overcome these challenges, enabling scalable, secure, and operationally consistent AI at the edge.
Nutanix Agentic AI: A Full-Stack Platform for Edge AI
Nutanix Agentic AI brings production-ready AI capabilities to the enterprise edge, enabling organizations to deploy, run, and manage AI models securely across distributed environments such as factories, hospitals, retail outlets, logistics hubs, and financial branches.
Built on the Nutanix hybrid multicloud platform, it provides a scalable and consistent foundation to run AI workloads with low latency, strong data governance, and simplified operations at the edge.
This allows enterprises to move from centralized AI experimentation to real-time, operational AI at scale, while maintaining security, compliance, and operational efficiency across thousands of edge locations.
It provides a unified cloud operating model, enabling enterprises to deploy AI applications across edge, on-premises, and hybrid environments using the same platform. By abstracting infrastructure complexity, Nutanix Enterprise AI allows enterprises to focus on AI driven outcomes rather than operations.
Wipro WINGS: Translating Edge AI into Business Outcomes
While platforms and infrastructure are essential, Edge AI success ultimately depends on execution. WINGS brings together industry-aligned AI frameworks, accelerators, and responsible AI practices to turn Edge AI capabilities into measurable business impact.
WINGS for Edge extends the AI-powered WINGS platform to distributed edge environments, enabling autonomous and resilient edge operations. It uses agent-driven intelligence (predictive, preventive, insight, and task agents) to monitor, manage, and heal edge infrastructure in near real time. The platform integrates observability, ITSM workflows, automation, and AI governance into a unified control plane for zero-touch provisioning and predictive maintenance.
WINGS enables enterprises to move from pilot projects to production-grade Edge AI solutions—aligned with industry needs, regulatory requirements, and business objectives.
Powered by an Open Ecosystem
The joint solution leverage common strategic eco system partners including NVIDIA, Intel, and AMD, ensuring flexibility, performance optimization, and choice across diverse Edge AI use cases.
This open ecosystem approach enables enterprises to adopt the right technologies while maintaining a consistent and validated architecture.
Enabling Edge AI Across Industries
The combined solution supports a wide range of industry use cases, including real-time quality inspection and predictive maintenance in manufacturing, AI-assisted diagnostics in healthcare, in-store intelligence in retail, and secure, low-latency fraud detection in banking and financial services.
Across industries, the ability to process data locally, act in real time, and operate securely at scale is redefining how enterprises compete.
