2024 Ebook
Snapshots Into The Edge
Current Trends For Edge Computing
& How Premio Is Positioned
13th Gen Intel® Core™ Processors
Industrial x86 Rugged Computers
13th Gen Intel® Core™ Processor Industrial Computers
RCO-6000-RPL Series
AI Edge Inference Computer
Unleash the potential of the 13th Gen Intel® Processor, complemented by scalable AI accelerators for superior edge intelligence. This workstation-grade, fanless computer harnesses cutting-edge technologies, including DDR5, PCIe Gen 4, GPU accelerators, and NVMe storage for rapid performance. Ideal for demanding industry 4.0 and edge-native applications, the RCO-6000-RPL features a ruggedized, fanless design and holds multiple safety certifications, ensuring robust edge reliability. Read Press Release ...
- 12th/13th Gen Intel® Core™ Processor with R680E PCH (35W TDP)
- Blazing-Fast DDR5 with ECC Support
- Edge AI Ready with Hailo-8™ (26 TOPS / 2.5W)
- Configurable EDGEBoost I/O Modules for versatile IoT sensor connectivity
- Mix & Match EDGEBoost Nodes for AI Acceleration and Training
- World-Class Certifications (UL, FCC, CE)
12th/13th Gen Intel® Core™ Processor
NVMe/SATA SSDs
DDR5 RAM
PCIe 4.0 Expansion
AI Acceleration
MIL-STD-810G Shock and Vibration
Products
RCO-6000-RPL Series is compatible with EDGEBoost Nodes for versatility and configurability in optimized performance acceleration. Mix and match EDGEBoost Nodes supporting GPU, NVMe/SATA storage, and/or PCIe Gen 4 Expansion to seamlessly tailor to specific deployment requirements.
PCIe Expansion delivers data transfer rates of 16GT/s for real-time performance acceleration. Integrate a dedicated GPU to process complex edge AI workloads or support various add-on expansion cards for further customization and tailored performance optimization.
SATA Storage leverages hot-swappable U.2 drives for expansive storage capacity, seamless data acquisition, and convenient accessibility for data offloading. Select between dual 15mm or 7mm SSD configurations depending on the requirements of the edge deployment application.
NVMe Storage enable hot-swappable high-capacity NVMe U.2 EDGEBoost Databricks for maximized real-time data acquisition and storage redundancy. Due to the sensitive nature of data at the edge, these EDGEBoost Nodes support RAID protocols for enhanced data redundancy and security.
Choose Your EDGEBoost Node
GPU and NVMe Storage deliver both performance acceleration for edge AI inferencing and high-speed data storage to the rugged edge. Optimize real-time data aggregation and processing with hot-swappable NVMe U.2 EDGEBoost Databricks. Efficiently run complex AI models with GPU hardware acceleration and high-capacity NVMe storage. Learn More ...
NVMe Storage. By utilizing EDGEBoost Databricks, enable hot-swappable high-capacity NVMe U.2 drive canisters for maximized real-time data acquisition and secure storage. These EDGEBoost nodes also support RAID for enhanced data redundancy and security; essential for data loss prevention. Learn More ...
SATA Storage EDGEBoost Nodes offer support for additional storage and PCI/PCIe expansion. Leverage a hot-swappable SATA U.2 drives for extended storage capacity and seamless data acquisition. Utilize PCI/PCIe expansion for additional hardware acceleration. Learn More ...
PCI / PCIe Expansion Integrate additional performance accelerators with PCI/PCIe expansion. Bring versatility and scalability for add-on high-speed network cards, video capture cards, and more. Learn More ...
Built Rugged. Built Ready.
The RCO-6000-RPL AI Edge Inference Computer is purpose-built for challenging industrial deployments. It excels in harsh conditions with wide temperature ranges, frequent shock and vibrations, and abrupt power fluctuations.
- Wide Operating Temp. (-25°C to 70°C)
- Shock & Vibration Resistant (MIL-STD-810G Compliant)
- Wide Power Input (9~48VDC)
- TPM 2.0 (Root-level Hardware Security)
13th Gen Intel® Core™ Processor
The RCO-6000-RPL AI Edge Inference Computer is powered with Intel’s latest hybrid-core architecture utilizing Performance (P) Cores and Efficiency (E) Cores for enhanced processing capabilities. Leverage 13th Gen Intel® Core™ processors with R680E chipset for high-performance, real-time computing and streamline intensive AI workloads.
- Up to 24 Cores: 8 P-Cores, 16 E-Cores
- Up to 32 Threads
- Increased L2 & L3 Cache
- 35W TE (Power-Optimized Embedded) Processors
Blazing-Fast DDR5 Integration
DDR5 memory doubles the transfer speed of its predecessor for heightened performance, reduced latency, and power efficiency. With the R680E chipset, ECC support is enabled for extensive operation times without minimized risk of failure.
+50%
Increase in Bandwidth
1.1V
Power Voltage Efficiency
EDGEBoost I/O Modules: Versatile Connectivity
Seamless I/O compatibility and expansion with EDGEBoost I/O Modules. The RCO-6000-RPL is designed with dual EDGEBoost I/O brackets for flexible connectivity and additional connection options to meet versatile deployment requirements such as PoE support and M12 connection types.
4x Port GbE/PoE RJ45 Connectors
4x Port GbE/PoE M12 Connectors
2x Port 10GbE RJ45 Connector
4x Port USB 3.2 Gen 1
Edge AI and NVMe Storage
Edge AI and NVMe Storage
Lower Latency, Faster Speeds:
PCIe Gen 4
Doubling in bandwidth and data transfer rates than the previous generation, PCIe Gen 4 provides real-time support for multiple performance accelerators. The RCO-6000-RPL AI Edge Inference Computer operates in tandem with PCIe Gen 4 EDGEBoost Nodes for NVMe and SATA drives, add-on expansion cards, and/or GPU support.
- Low-profile GPU Support
- Hot-swappable NVMe/SATA Storage Bays
- Add-on Expansion Cards
2 GB/s
Data Transfer Rates
GPU Acceleration for Edge AI
The RCO-6000-RPL is engineered to support a low-profile GPU for real-time computer vision and automation focused AI inferencing applications. Ensure seamless compatibility and performance with selected professional-grade GPUs for plug-and-play configurations optimized for edge AI computer vision.
Tested & Validated GPU List
| Model Name | RAM | CUDA Cores | TDP | Display | Interface | Active Cooling | Slots |
| NVIDIA T1000 | 8G | 896 | 50 | 4x mDP | PCIe 3.0 x16 | Yes | 1 |
| NVIDIA RTX A2000 | 12G | 3328 | 70 | 4x mDP | PCIe 4.0 x16 | Yes | 2 |
| NVIDIA RTX 4000 SFF | 20G | 6144 | 70 | 4x mDP | PCIe 4.0 x16 | Yes | 2 |
Edge AI Ready with Hailo-8™
Enable real-time AI inferencing without thermal or mechanical limitations with scalable M.2 performance acceleration. For deployments that require a compact, power-efficient edge AI solution, the RCO-6000-RPL is compatible with up to three Hailo-8™ M.2 AI acceleration modules.
- Scalable up to 78 TOPS
- Low-power efficiency (2.5W)
- Supporting up to 3x Hailo-8™
Factory Automation & Intelligent Transportation Ready
The RCO-6000-RPL Series implements essential on-board I/O specific for automation and transportation deployment applications. This includes two-channel CAN Bus and 8-bit isolated DIO for real-time data aggregation on vehicle telematics, fleet management, and robotics.
- CAN Bus
- DIO (Isolated 8-bit)
- Power Ignition Management
Windows 11 IoT Enterprise
Windows 11 IoT enables performance and efficiency of RCO-6000-RPL Series with purpose-built operating system support for processing, security and IoT connectivity.
- Windows 11 IoT Enterprise
- Windows 10 IoT LTSC
World-Class Safety Certifications
At Premio, we pride ourselves in providing competent edge computing solutions that deliver reliable performance while deployed in challenging industrial environments. Our flagship line of rugged edge computers, including the RCO-6000-RPL, has achieved UL Listed and has been rigorously tested and validated for safety standards compliance.
