Overview
As manufacturers continue adopting Industry 4.0 technologies, operational digital twins are becoming an important tool for visualizing, monitoring, and optimizing physical assets in real time. By processing real-time operational data closer to physical assets, edge computing enables digital twins to continuously monitor changing conditions, detect anomalies, and support predictive insights with lower latency. A digital twin software provider required a high-performance industrial computing platform capable of supporting intensive AI processing, 3D visualization, and real-time operational data at the edge, enabling faster analysis and prediction of potential equipment failures while maintaining reliable operation in demanding industrial environments. Premio's VCO-6000-RPL Rugged Edge AI Workstation provided the processing performance, GPU acceleration, flexible connectivity, scalable storage, and industrial reliability required to support advanced operational digital twin workloads.
Challenges
- Required high-performance computing to support real-time 3D digital twin visualization and AI processing
- Need for reliable memory performance to handle intensive AI workloads and large datasets
- Required rich industrial I/O to integrate cameras, sensors, automation equipment, and industrial networks
- Increasing GPU performance requirements for AI analytics, computer vision, and advanced 3D visualization
- Need for high-bandwidth expansion to support GPU acceleration and low-latency data processing
- Large volumes of operational data requiring fast local storage and flexible expansion options
- Industrial deployment requiring reliable 24/7 operation in harsh environments
Solution ![]()
Premio's VCO-6000-RPL Rugged Edge AI Workstation
- 13th Gen Intel® Core™ Processors (Raptor Lake-S) delivering high-performance hybrid-core computing for digital twin applications
- DDR5 memory with ECC support providing reliable performance for intensive AI workloads
- Front-facing industrial I/O enabling easy integration with cameras, sensors, automation equipment, and industrial networks
- Support for dual full-height, full-length GPUs (NVIDIA RTX PRO™ 4500 Blackwell and NVIDIA RTX PRO™ 4000 Blackwell) with PCIe Gen 4 expansion, enabling high-performance AI acceleration and advanced 3D visualization
- Hot-swappable NVMe or SATA storage supporting large operational datasets and high-speed data access
- Rugged industrial design with wide-temperature support, shock and vibration resistance, and wide-range DC power input for reliable 24/7 operation
Benefits
- NDAA and TAA-compliant hardware supporting secure deployments across government, defense, and regulated industries
- UL 62368-1 Ed. 3 certified and UL Listed (I.T.E. E357184) by UL Solutions, providing added assurance of product quality, safety, and reliability in extreme industrial deployments. The system is also CE and FCC Class A compliant
- Responsive engineering and technical support from Premio's Los Angeles headquarters, ensuring faster communication and deployment assistance
Company Overview
A digital twin software provider develops operational platforms that connect immersive 3D environments with real-time data from manufacturing facilities, industrial assets, and building systems. Its technology helps facility managers, engineers, and operations teams visualize equipment, monitor conditions, analyze historical information, and apply AI-driven insights through a unified digital environment. As manufacturers continue advancing Industry 4.0 initiatives, the company is focused on helping organizations improve facility visibility, operational efficiency, and predictive maintenance through smarter digital twin deployments.
The Challenges
High Performance Computing for Real Time Digital Twins
Operational digital twins require substantially more computing power than traditional visualization tools because they continuously combine 3D environments with live operational data and AI processing. Facility managers need to move through detailed virtual spaces while simultaneously accessing sensor information, equipment conditions, and analytics without noticeable delays. Supporting this experience requires a high-performance computing platform capable of handling multiple intensive workloads at the industrial edge.
Reliable Memory for Data Intensive Workloads
Digital twin applications continuously process large amounts of operational information from sensors, equipment, cameras, and other connected systems. As AI workloads and datasets increase, memory performance and data reliability become essential for maintaining consistent application responsiveness. The digital twin platform therefore required high-speed memory with reliability features capable of supporting demanding workloads over extended periods of operation.
Rich Industrial Connectivity
Creating an accurate operational digital twin depends on collecting information from many different sources throughout a facility. Cameras, sensors, automation equipment, industrial networks, and other systems must communicate with the computing platform so their information can be incorporated into the digital environment. The deployment required rich industrial I/O that could simplify integration while supporting the wide variety of devices typically found across manufacturing and facility environments.
Growing GPU Performance Requirements
Advanced digital twins increasingly combine detailed 3D rendering with AI analytics, computer vision, and predictive capabilities. These workloads place significant demands on GPU resources, particularly when high-resolution visualization and AI inference must occur simultaneously. The solution needed sufficient GPU performance and expansion flexibility to support both current workloads and future increases in AI and visualization complexity.
High Speed PCIe Expansion
GPU acceleration and other high-performance peripherals depend on fast internal data movement to minimize processing delays. As operational information flows between storage, CPU resources, GPU accelerators, and application software, limited expansion bandwidth can create bottlenecks that affect digital twin responsiveness. APCIe expansion architecture was therefore necessary to support low-latency processing across demanding AI and visualization workloads.
Large Volumes of Operational Data
Digital twin systems continuously generate and collect information that may need to remain available for real-time monitoring, historical analysis, predictive maintenance, or training. Video streams, sensor histories, AI-generated insights, and operational records can quickly create substantial storage requirements. The platform needed fast local storage and flexible expansion capabilities to maintain rapid access to large datasets while supporting future growth.
Reliable 24/7 Industrial Operation
Operational digital twins can become an important part of how facility teams monitor assets, investigate conditions, and make maintenance decisions. In industrial environments, the computing platform may need to remain available continuously despite temperature variation, vibration, electrical conditions, or other operational stresses. The digital twin provider therefore required a rugged system designed to maintain reliable performance around the clock.
The Solution: Premio's VCO-6000-RPL Rugged Edge AI Workstation
VCO-6000-RPL-4-2PWR
Premio's VCO-6000-RPL Rugged Edge AI Workstation provided the computing foundation needed to deploy the operational digital twin platform closer to the physical environment. Installed at the industrial edge, the system could process facility data, visualization workloads, and AI analytics locally rather than relying entirely on remote cloud infrastructure. This architecture helped create a responsive digital environment where facility teams could interact with real-time and historical operational information.
Intel® Core™ Series 2 Processing
Intel® Core™ Series 2 processors based on the Bartlett Lake-S architecture delivered the high-performance computing required for complex operational digital twin workloads. With up to 24 cores, including 8 Performance-cores and 16 Efficient-cores, the hybrid architecture enabled the system to process multiple tasks simultaneously, including data management, visualization, AI coordination, and system communication. This processing capability helped maintain a responsive user experience as operators navigated the digital twin and monitored changing facility conditions. View the VCO-6000-RPL-4-2PWR product specifications.
DDR5 Memory with ECC Support
DDR5 memory, with support for up to 96GB, provided the bandwidth and capacity required to handle large datasets and demanding AI applications without creating unnecessary memory bottlenecks. ECC support added another layer of reliability by helping protect data integrity during intensive and continuous computing workloads. For operational digital twins running around the clock, this combination supported dependable performance as facility data and analytics workloads continued to grow.
Front Facing Industrial I/O
Front-facing industrial I/O simplified connectivity between the workstation and equipment deployed throughout the facility. Cameras, sensors, automation systems, and industrial networks could be integrated more easily while keeping system connections accessible for installation and maintenance. This connectivity allowed the digital twin platform to continuously gather operational information from physical assets and reflect those conditions inside the virtual environment.
Dual Full Height Full Length GPU Support
Support for dual full-height, full-length GPUs, including NVIDIA RTX PRO™ 4500 Blackwell and NVIDIA RTX PRO™ 4000 Blackwell, gave the platform the acceleration required for demanding AI and 3D visualization workloads. PCIe Gen 4 expansion provided the high-bandwidth connection necessary for rapid communication between CPU resources and GPU accelerators. With this architecture, the digital twin could support detailed 3D rendering, AI inference, computer vision, and advanced analytics from the same edge platform.
Hot Swappable NVMe and SATA Storage
Hot-swappable NVMe and SATA storage provided the capacity and performance needed to manage large operational datasets. Facility teams could retain video, sensor histories, equipment information, and other data locally for fast access during real-time monitoring or historical analysis. Flexible storage options also helped the system scale as digital twin deployments generated increasing amounts of operational information.
Rugged Industrial Design
The VCO-6000-RPL was designed for deployment in industrial environments where commercial workstations may not provide sufficient durability or reliability. Wide-temperature support (-25°C up to 70°C), shock and vibration resistance, and wide-range DC power (9 to 48V) input helped the system maintain dependable operation under demanding conditions. These industrial features supported continuous digital twin workloads in manufacturing facilities, infrastructure environments, and other locations where reliable edge computing is essential.
The Benefits
Secure Deployment Support
NDAA- and TAA-compliant hardware helps organizations meet sourcing and procurement requirements across government, defense, and regulated industries. The system is also UL 62368-1 Ed. 3 certified and UL Listed (I.T.E. E357184) by UL Solutions, providing additional assurance of product quality, electrical safety, and reliability for demanding industrial deployments. These certifications make the platform suitable for digital twin applications where hardware origin, supply-chain integrity, procurement standards, and operational safety are critical.
Responsive Engineering and Technical Support
Access to Premio's engineering and technical support teams from its Los Angeles headquarters helps simplify integration, troubleshooting, and deployment planning. Faster communication with technical resources can be especially valuable when configuring GPU acceleration, storage, industrial connectivity, or other system requirements for complex digital twin environments.
Conclusion
Operational digital twins give industrial organizations a powerful way to combine immersive 3D visualization with live facility data, historical information, and AI analytics. With the VCO-6000-RPL Rugged Edge AI Workstation providing high-performance CPU processing, GPU acceleration, flexible connectivity, scalable storage, and rugged reliability at the edge, digital twin platforms can process and analyze data closer to physical assets, enabling real-time monitoring, anomaly detection, and predictive insights without depending entirely on remote infrastructure. The result is a robust foundation for smarter facility management, predictive maintenance, faster operational decision-making, visualization, and future Industry 4.0 applications.