Overview
As warehouses continue to adopt intelligent automation to meet growing fulfillment demands, robotics providers require powerful and reliable computing platforms capable of processing AI workloads in real time. A leading warehouse robotics innovator needed a high-performance industrial computer to manage robotic arm systems while reducing deployment delays caused by lengthy hardware lead times. Premio's expandable Edge AI workstation delivered the computing performance, engineering support, and faster delivery needed to accelerate production deployments while powering advanced AI inference.
Challenges
- Need for a high performance processor capable of supporting AI inference alongside robotic control workloads
- Long lead times from previous hardware suppliers delaying robotics deployments
- Insufficient engineering support for system integration and deployment requirements
- Requirement for expansion capabilities to accommodate NVIDIA RTX 4000 series GPU and high speed networking
- Need for UL certified industrial hardware for reliable long term operation
Solution
- Premio's Expandable Edge AI Workstation (KCO-3000-RPL)
- 13th Gen Intel® Core™ i9 processor with 64GB DDR4 memory for robotic control and AI inference
- PCIe Gen 5 expansion supporting up to the NVIDIA RTX PRO 4000 Blackwell GPU for AI inference and advanced edge AI workloads
- Dual LAN with 1GbE and 2.5GbE ports supporting Wake-on-LAN and PXE
- Industrial grade design with a 500W power supply and UL 62368 certification for continuous operation
Benefits
- Faster deployment through reduced hardware lead times
- Reliable AI powered robotic operation
- Responsive engineering support throughout deployment
Company Overview
Founded by artificial intelligence pioneers, the company develops intelligent robotic automation solutions that transform warehouse operations. Its robotics platform combines advanced AI, machine learning, and computer vision to automate repetitive warehouse tasks with exceptional accuracy and adaptability. Continuing to expand the capabilities of warehouse automation, the company remains focused on delivering intelligent robotics that seamlessly operate within dynamic fulfillment environments.
The Challenges
High Performance Computing for AI Robotics
Modern warehouse robots require significantly more processing power than traditional industrial automation systems. Running robotic control software alongside AI inference places heavy demands on both CPU and GPU resources. The organization needed a computing platform capable of managing these workloads simultaneously without compromising system responsiveness.
Reducing Deployment Delays
Lengthy delivery schedules from previous hardware vendors slowed production planning and customer deployments. Delays in receiving critical computing hardware created bottlenecks that impacted project timelines. The company needed a supplier capable of delivering industrial systems within a much shorter timeframe.
Limited Engineering Support
Integrating AI hardware into sophisticated robotic systems often requires close collaboration between engineering teams. Previous suppliers were unable to provide the level of technical assistance necessary for rapid deployment. The organization required responsive engineering expertise throughout system integration and validation.
Expansion for High Performance AI Hardware
The robotic arm platform relied on an NVIDIA RTX 4000 series GPU to perform AI inference for vision processing and decision making. The computing platform also required additional networking capabilities to communicate with multiple robotic subsystems. A flexible expansion architecture was essential for supporting current requirements while allowing future scalability.
Industrial Reliability Requirements
Warehouse environments demand computing platforms capable of operating continuously with minimal downtime. The organization required an industrial-grade solution backed by recognized safety certifications for deployment in commercial automation systems. Reliability was essential to ensure uninterrupted robotic operations.
The Solution
Premio's Expandable Edge AI Workstation (KCO-3000-RPL)
The deployment centered around Premio's KCO-3000-RPL Expandable Edge AI Workstation, configured with a 13th Gen Intel® Core™ i9 processor, 64GB DDR4 memory, 2x 2.5" SSD/HDD up to 15mm, support for full-height GPU cards, and dual LAN ports. The workstation delivers the computing performance needed to manage robotic arm operations while accelerating AI inference workloads. Its industrial architecture also provides the flexibility to support future hardware expansion.
Powerful Compute Performance
Powered by a 13th Gen Intel® Core™ i9 processor, the KCO-3000-RPL leverages Intel's hybrid architecture with up to 24 cores to deliver exceptional compute performance for industrial robotics. The advanced processing platform enables responsive robotic control and AI workloads while maintaining high system efficiency.
Flexible Expansion Architecture
A PCIe Gen 5 x16 slot supports next generation full height GPU cards, including the NVIDIA RTX 4000 GPU, for AI inference, machine vision, visual inspection, and advanced edge AI workloads. Additional PCIe slots and dual LAN connectivity enable flexible expansion and high speed communication between robotic systems.
Accelerated Deployment Through Engineering Partnership
Beyond delivering industrial hardware, Premio collaborated closely with the customer's engineering team throughout system integration. Responsive technical support helped simplify deployment while reducing development time. Combined with significantly shorter lead times, the organization was able to bring robotic systems into production much faster.
Built for Industrial Operation
The workstation incorporates an industrial-grade metal chassis, internal 500W power supply, tool-less washable dust filter, TPM 2.0 security, and UL certification to support continuous operation in demanding industrial environments. These features help ensure dependable long-term performance in warehouse automation facilities.
The Benefits
Faster Time to Deployment
Reduced lead times enabled robotic systems to be deployed sooner, helping customers accelerate warehouse automation projects.
Reliable AI Performance
The powerful CPU and RTX GPU combination delivers consistent AI inference performance for robotic vision and automation workloads.
Trusted Engineering Partnership
Responsive engineering support from Premio's Los Angeles headquarters helped streamline system integration while reducing deployment complexity.
Conclusion
As warehouse robotics continue to evolve, high-performance industrial computing has become a critical foundation for AI-powered automation. By combining powerful AI hardware, flexible expansion capabilities, shorter lead times, and dedicated engineering support, Premio's KCO-3000-RPL enabled the customer to accelerate deployment while delivering reliable robotic automation at scale.