Nx EVOS + Intel AI Edge

Unified AI Video Pipeline For Intel® Edge Devices

Most edge video projects end up with different pipelines per device, duplicated engineering, and extra infrastructure just to move beyond pilots.

With Nx EVOS validated on Intel® AI Edge Systems, you get a single, standardized AI video pipeline you can reuse across deployments, so you can do more with the hardware you already deploy and focus on the solution, not the plumbing.

The joint solution combines:

Nx EVOS – enterprise-grade intelligent video platform
Nx AI Manager – universal AI model management layer
Intel AI Edge Systems – validated stack across Intel Core™, Intel Xeon®, Intel® Arc™ graphics, and integrated NPUs

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What Nx + Intel Enable

Standardize, deploy, and scale AI-driven video at the edge with Nx EVOS + Intel® AI Edge Systems.

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Cross- Hardware AI Flexibility

Run AI models across Intel CPUs, GPUs, and NPUs through a single inference pipeline.

Result: Less hardware-specific engineering, faster time-to-market, and better use of your existing Intel edge compute.

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Scalable Model Management at the Edge

Deploy, update, and roll back AI models over-the-air via Nx Cloud across hundreds or thousands of devices.

Result: Keep systems current without manual configuration at each site.

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Continuous Improvement

Use configurable post-processing to collect targeted video samples for retraining and fine-tuning.

Result: Continuously improve model accuracy based on real-world conditions.

Edge Video AI Built to Scale

Nx EVOS unifies AI video pipelines across Intel® edge devices.

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Edge Video AI Built to Scale - Architecture (1)

At a high level, the joint solution enables you to:

Ingest video and sensor streams into Nx EVOS (cameras, LiDAR, and other devices)
Manage models centrally via Nx AI Manager; deploy, update, monitor, and iterate at scale
Execute AI workloads on Intel CPUs, GPUs, or NPUs, selected and optimized per device
Return detections and insights back into Nx EVOS for visualization, rules, or downstream systems

Who It’s For expand_more

Edge Video AI Built to Scale - Who Its For

Built for Teams Who

Build intelligent video products or solutions for end customers
Architect edge AI systems for transportation, public safety, retail, or industrial environments
Need to support mixed Intel hardware across customers and regions
Want to move from one-off integrations to repeatable, scalable offerings

Intel Aligned expand_more

Edge Video AI Built to Scale - Intel Aligned (1)

Aligned with Intel’s Edge AI Stack

Nx EVOS is validated on Intel AI Edge Systems and leverages Intel® Distribution of OpenVINO™ and Intel media processing libraries such as Intel® Video Processing Library (VPL), helping ensure your AI video pipeline is aligned with Intel’s long-term edge AI roadmap.

At a high level, the joint solution enables you to:

Ingest video and sensor streams into Nx EVOS (cameras, LiDAR, and other devices)
Manage models centrally via Nx AI Manager; deploy, update, monitor, and iterate at scale
Execute AI workloads on Intel CPUs, GPUs, or NPUs, selected and optimized per device
Return detections and insights back into Nx EVOS for visualization, rules, or downstream systems

Built for Teams Who

Build intelligent video products or solutions for end customers
Architect edge AI systems for transportation, public safety, retail, or industrial environments
Need to support mixed Intel hardware across customers and regions
Want to move from one-off integrations to repeatable, scalable offerings

Build Edge Video Intelligence Faster

Unified AI Video Pipeline For Intel® Edge Devices

What Nx + Intel Enable

Cross- Hardware AI Flexibility

Scalable Model Management at the Edge

Continuous Improvement

Edge Video AI Built to Scale

At a high level, the joint solution enables you to:

Built for Teams Who

Aligned with Intel’s Edge AI Stack

At a high level, the joint solution enables you to:

Built for Teams Who

Aligned with Intel’s Edge AI Stack

Planning an Edge Video AI Deployment?