From Operational Technology Data to Decisions with AI: Nokia ECE Converged MX Industrial Edge solution Powering the Future of Industry

• Nokia Enterprise Campus Edge converged MX Industrial Edge solution delivers real time intelligence (AI) at the operational (OT) data source.
• Native AI pipelines, cohesive AI runtime, distributed MLOps, and far-edge to on-prem orchestration empower enterprises in manufacturing, energy, transportation, logistics, and other sectors can scale and coordinate AI from pilot to production across the edge for optimized total cost of ownership.
• Mission critical industrial enterprises gain deterministic performance, safety and compliance powered by private wireless and governed AI.

Industrial AI adoption is accelerating rapidly — and the edge is becoming its new home

Industrial operations generate massive volumes of OT data, yet enterprises struggle to process it with modern AI methods because transmitting high bandwidth streams to the cloud is costly, adds unacceptable latency, and raises privacy concerns — making on-prem edge the only scalable, compliant option for real-time AI inference.

The Nokia Enterprise Campus Edge (ECE) converged MX Industrial Edge solution brings both traditional and Generative AI (GenAI) directly to where operational (OT) data is generated, for real time intelligence, safer operations, and unprecedented industrial automation.

Why it matters:

• The global Industrial AI market is projected to reach $153.9B by 2030, growing at a 23% CAGR.
• Industrial enterprises are shifting from AI pilots to CxO-suite driven, enterprise wide AI strategies.
• Industrial enterprises demand deterministic performance, OT data sovereignty, and absolute reliability to support mission-critical use cases, pushing AI inference from the public cloud to the on-premises edge.

At Nokia ECE, we’re addressing these growing and diverse demands by evolving our AI capable, on prem industrial edge compute solution. The converged MX Industrial Edge solution delivers advanced analytics and GenAI capabilities, directly to the factory floor, mine, or logistics hub.

The MX Industrial Edge solution architecture serves demands across the on-premises edge as:

• MX Industrial Edge (MXIE) becomes the high-capacity central edge.
• MXIE micro extends capabilities to the far edge compute layer, processing OT data directly at the source.

AI Seamlessly Integrated Across the On-Prem Edge

MXIE micro devices deployed at the far edge minimize latency and bandwidth use by handling data acquisition, preprocessing, and lightweight inference right where the data is generated. For automated AI-driven workflows, MXIE integrates platforms, such as Flowise for LLM orchestration and n8n for event-driven automation. This supports advanced use cases, including automated root cause analysis, zero-touch maintenance workflow automation, intelligent operator assistance, real-time safety escalation, closed-loop quality reporting, preventive maintenance and continuous process optimization.

MXIE aggregates OT data and combines it with data from other sources (multimodal fusion), runs higher complexity inference, and hosts industrial applications and business logic.

A Unified AI Runtime for All Workloads

We’ve moved from device centric inference to a cohesive AI runtime fabric that supports both traditional and Generative AI to serve the growing demands of industrial enterprises.

• vLLM delivers high throughput, low latency LLM inference optimized for high-production environments.
• Model Gateways like LiteLLM and Maxim Bifrost manage routing, per user limits, fallbacks, and multi compute platform coordination.

This simplifies deployment, orchestration, and lifecycle management for improved scalability and operational efficiency.

Distributed MLOps Enables Continuous Innovation

Industrial AI requires a robust, distributed machine learning operations (MLOps) pipeline. Across the enterprise edge, flexible open-source AI-enabled workflows handle data ingestion, normalization and training. Full lifecycle management ensures continuous, safe AI improvement.

Built for Industrial Reliability, Safety, and Compliance

In addition to its inherent security and mission-critical capabilities, MXIE now ensures AI governance and accountability for mission-critical use cases through:

• Local GenAI Deployment to ensure inference stays within trusted, bounded contexts.
• Guardrails and Policy Controls for safe, predictable AI behavior.
• Human in the Loop escalation during low confidence or unexpected scenarios.
• Full Auditability aligned with ISO, IEC, and EU AI Act requirements.

This ensures AI remains safe, transparent, and compliant, even in the most demanding industrial settings.

Built for Hardware Variety and Vendor Flexibility

There’s no ‘one-size-fits-all’ hardware model for industrial environments. When workloads run in a distributed fashion, each site, process, and environment has its own compute, performance and size requirements.

MXIE micro is built for industrial environments where hardware needs vary by site, process, and workload. It supports a broad range of form factors, from compact systems for lightweight AI and data acquisition to advanced AI-enabled compute nodes for computer vision and other industrial applications. Backed by our hardware self-certification program for MXIE micro, customers gain greater choice and confidence with platforms validated for predictable operation on a common software fabric. The result is hardware independence with predictable behavior: customers have greater choice, allowing them to select a solution that is fully compatible with our common software fabric- one that serves their use case and performance needs, while overcoming unique operational constraints.

Enabling Transformative Industrial Use Cases

The unified AI fabric unlocks new on-premises compute possibilities right to the far edge, including:

• Distributed video analytics for security and quality.
• Real-time video analytics-based object and asset tracking.
• Worker safety monitoring and proactive risk detection.
• Real-time sensory data-based predictive maintenance.
• Anomaly detection-based environmental monitoring.
• Natural human language-based intelligent worker assistance.

The Nokia ECE MX Industrial Edge solution is more than a technology stack; it’s a strategic foundation for industries embracing intelligent automation with confidence.