Accelerating On-Prem AI Video Analytics with Rugged NVIDIA Jetson Edge AI Platform


The Company 

A fast-growing AI security technology provider is revolutionizing physical security operations through advanced edge AI and computer vision. With a mission to empower businesses with intelligent, real-time monitoring solutions, the company delivers AI-powered surveillance systems for a wide range of applications. Their core market includes commercial security deployments, where precision, performance, and reliability are mission-critical. 

Challenge 

  • The customer wanted to eliminate the use of Chinese-manufactured hardware due to sourcing and compliance concerns.
  • Their previous hardware lacked the necessary Ethernet connectivity to support multiple surveillance streams.
  • A compact system was needed to fit into constrained server room environments.
  • They required a cost-effective AI edge solution without compromising performance. 

Solution 

To address these challenges, the company selected Premio’s JCO-3000-ORN-B, a compact yet powerful AI edge computer featuring the NVIDIA® Jetson Orin™ NX module. The system met all the critical criteria: 

  • Made in Taiwan origin aligned with the customer’s sourcing requirements.
  • Small form factor ensures easy deployment in limited-space server racks.
  • 4x LAN ports enable seamless integration with IP cameras and edge AI software.
  • The embedded Jetson Orin NX module provides robust compute capabilities for real-time object detection and analytics in a small form factor. 

Benefits 

Partnering with Premio provided more than just reliable edge hardware—it delivered a long-term technology foundation: 

  • Localized supply chain management helped reduce lead times and mitigate sourcing risks.
  • Long-term product lifecycle support ensured consistent hardware availability across deployments.
  • Collaborative engineering and responsive support laid the groundwork for a strong, scalable partnership. 

 

Company background 

A fast-growing AI security technology provider is transforming the way physical operations are monitored and protected. With a core focus on applying advanced computer vision and AI at the edge, this company delivers intelligent surveillance systems designed for high-precision object detection and real-time incident response. Their customers span various sectors, including commercial, industrial, and public spaces—each requiring robust, low-latency monitoring solutions to ensure safety and operational efficiency. Built to empower physical environments with smarter security insights, the company’s platform integrates seamlessly with IP camera networks and edge compute nodes to deliver actionable intelligence where it matters most. 

 

Challenges 

Navigating Sourcing Restrictions and Compliance Risks 

The customer had concerns over using Chinese-manufactured hardware, driven by internal sourcing policies and compliance requirements. To mitigate risk and align with strategic procurement goals, they sought alternative suppliers outside China. 

Connectivity Bottlenecks in Previous Deployments 

The edge surveillance platform relies on stable and high-throughput camera feeds to perform accurate AI inference. However, earlier hardware solutions lacked sufficient Ethernet connectivity, making it difficult to handle multiple video streams simultaneously and thereby limiting the overall system efficiency in field trials. 

Deployment Constraints in Centralized IT Environments 

Although ruggedness wasn’t a major concern due to the server-room-based deployment, form factor emerged as a crucial factor. The team needed a compact, industrial-grade system that could fit neatly within existing IT enclosures and not require extensive reconfiguration or additional cooling infrastructure. 

Striking a Balance Between Cost and Performance 

With scaling in mind, the company faced the challenge of sourcing edge AI systems that delivered GPU-accelerated inference without inflating hardware costs. The goal was to standardize on a platform that provided enough performance headroom while remaining viable for volume deployment across multiple client sites. 

 

Solution 


To modernize its AI surveillance infrastructure and align with strategic sourcing requirements, the company adopted Premio’s JCO-3000-ORN-B as the core computing platform for its edge deployment. This solution was selected after a comprehensive evaluation process that weighed hardware origin, connectivity, size constraints, and GPU performance. 

Taiwan-Based Industrial Manufacturing Meets Strategic Goals

The Premio JCO-3000-ORN-B was selected in part for its trusted manufacturing origin in Taiwan, which aligned with the customer’s non-Chinese sourcing policy. This not only addressed risk mitigation but also provided peace of mind around long-term compliance and IP protection in sensitive AI deployments. 

Optimized Size for IT Rack Integration 

Premio’s fanless, small-form-factor edge system fit seamlessly into the customer's centralized IT racks without needing custom mounting or environmental hardening. The reduced size helped preserve space in shared server rooms while maintaining airflow and minimizing power draw. 

High-Speed Networking to Support AI Vision Workloads 

The JCO-3000-ORN-B’s multiple GbE ports proved ideal for integrating a network of IP cameras and supporting real-time data ingestion. This upgrade allowed the customer to scale its AI surveillance software across more endpoints without encountering network or compute bottlenecks. 

Edge AI Performance with NVIDIA Jetson Orin NX 

By leveraging the NVIDIA® Jetson Orin™ NX module, the platform delivered advanced inference performance within a tight power and thermal envelope. This empowered the customer's proprietary object detection algorithms to run on-device, minimizing latency and reducing dependence on remote servers or the cloud. 

 

Benefits 

Regional Supply Chain for Agile Fulfillment 

With localized inventory and fulfillment channels, Premio provided a faster and more secure procurement process. This helped the customer avoid the unpredictable delays often tied to global logistics and instead focus on deploying their technology where it mattered most. 

Future-Proofed Platform with Long-Term Roadmap 

Premio’s commitment to industrial-grade hardware lifecycle support gave the customer the confidence to build their AI surveillance stack around a reliable foundation. The product roadmap ensures stability and continuity, even as their AI models and customer demands evolve. 

Scalable Relationship for Growing Demands 

Beyond hardware delivery, the partnership with Premio has matured into a strategic collaboration. From prototyping to production, the customer now has a dependable partner that can scale with them across new verticals and global regions.