UL Certification
Safety Compliance &
Deployment Confidence
- High-Speed NVMe storage
- Real-time GPU Acceleration
- PCI/PCIe Expansion
RCO-6000-CFL Industrial Computer with 9th Gen Intel® Core™ CFL-R S Processor
RCO-6000-CFL-2 Industrial Computer with 9th Gen Intel® Core™ CFL-R S Processor, 2x PCI/PCIe Expansion
RCO-6000-CFL-2-2PWR AI Edge Inference Computer with 9th Gen Intel Core Processor and Q370 PCH, Dual Power Input
RCO-6000-CFL-2060S AI Edge Inference Computer with 9th Gen Intel Core Processor and Q370 PCH, RTX 2060 Super Integrated
RCO-6000-CFL-4NH AI Edge Inference Computer with LGA 1151 for 9th Gen Intel® CPU & Q370 PCH, 4x U.2 15mm NVMe, Hardware RAID
RCO-6000-CFL-4NS AI Edge Inference Computer with LGA 1151 for 9th Gen Intel® CPU & Q370 PCH, 4x U.2 15mm NVMe, Software RAID
RCO-6000-CFL-2N2060S AI Edge Inference Computer with LGA 1151 for Intel 8th/9th Gen CPU & Q370 PCH, 2 Bay U.2 15mm, RTX 2060S integrated
RCO-6000-CFL-4N2060S AI Edge Inference Computer with 9th Gen Intel® Core™ Processor, Q370 PCH, 4x U.2, RTX 2060S Integrated
RCO-6000-CFL-8NS AI Edge Inference Computer with 9th Gen Intel® Core™ Processor, Flash Storage 8x U.2 NVMe Bay, 1x PCIe x4 (1-lane) Expansion
Coming Soon
RCO-6000-CFL-8NS AI Edge Inference Computer with 9th Gen Intel® Core™ Processor, Flash Storage 8x U.2 NVMe Bay, 1x PCIe x4 (1-lane) Expansion
SKU Alias: RCO-6141E-8U2C-SWR
- LGA 1151 socket for 9th Gen. Intel® CFL-R S Processor Pentium® / Celeron® Desktop Processor
- Intel® Q370 chipset
- 2x 260-pin DDR4 SODIMM. Max. up to 64GB
- Triple Independent Display by 1x DVI-I and 2x DisplayPort
- 2x Intel® GbE supporting Wake-on-LAN and PXE
- 2x Removable 4 Bay NVMe SSD Module with RAID 0, 1 support (Support H=7mm)
- 4x 2.5” SATA HDD Bay and 2x mSATA with RAID 0, 1, 5, 10 support
- 1x M.2 (M Key, NVMe PCIe x4, 2280); 1x M.2 (E Key, PCIe x2, 2230, USB 2.0, Support CNVi),2x SIM socket
- 9 to 48VDC Wide Range Power Input Supporting AT/ATX Mode
- Wide Operating Temperature (-25°C to 60°C)
- Power ignition management
- Supports Hailo-8™ Module m.2 M-Key PCIe x4
Model:
RCO-6000-CFL-8NS
Certifications:
Deploying powerful inference computers at the edge to process data and make decisions in real-time enables organizations to reflexively respond to situational data, glean keener insights into their operations, achieve low latency data processing and decision-making, and reduce their network demands.
Premio has combined next-generation processing and high-speed storage technologies with the latest IoT connectivity features to create a solution designed from the ground up to deliver holistic inference analysis at the rugged edge.
The RCO-6000-CFL-8NS AI Edge Inference Computer incorporates advanced performance Intel 9th Generation processors, rich GPU support, and scalable, hot-swappable NVMe capacity into versatile hardware that is designed to withstand deployment in challenging industrial environments. Introducing EDGEBoost Nodes for GPU acceleration and high-capacity NVMe storage, this AI edge inference computer pushes the performance limits for compute, storage, and connectivity at the rugged edge. Popular IoT workloads that can utilize this edge computer include: security and surveillance, kiosks, railway, vehicle telematics, ADAS, mining and industrial automation.
Multi-Core Computing For the Evolving Edge
The RCO-6000-CFL-8NS AI Edge Inference Computer leverages rich performance enhancements provided by 9th Generation Intel CFL-R S Processors and Q370 Chipset support. The LGA1151 socket design is combined with Intel’s Q370 chipset to deliver augmented peripheral performance for low-latency edge responsiveness. Gigabit wireless speeds, PCIe 3.0 lanes, SATA ports, and high-speed USB 3.2 Gen 2 grants this AI Edge Inference Computers exceptional I/O integration options for transmitting data to and from sensory devices sitting at the edge.
Flexible I/O and Connectivity
The RCO-6000-CFL-8NS AI Edge Inference Computer supports Premio daughterboard modules that integrate easily into our embedded and edge computers through standard PCIe signals. These flexible add-in modules provide additional ethernet I/O ports and scalable connectivity (Wired 10GbE and Cellular 5G) for IoT deployments that require a variety of connections in multiple RJ45 and M12 locking connectors. Both RJ45 and M12 locking connector modules can also provide PoE+ (IEEE 802.3at) for data and power through single cable.
Module Options:
- 4x RJ45 or M12 Locking Connectors in LAN/PoE
- 2x 10 GbE Ports
- 5G Module
Performance Blocks: 2 Piece Modular Design
A key differentiator of Premio’s RCO-6000-CFL-8NS AI Edge Inference Computer is its modular add-on nodes for powerful inferencing capabilities and high-performance NVMe storage. System integrators can select specific nodes that provide high-speed, high capacity NVMe storage and GPU performance acceleration. This innovative mechanical design provides a rugged and fanless industrial computer that pairs with performance acceleration nodes, or “EdgeBoost Nodes” that can manage a variety of complex workloads at the edge.
- Industrial Fanless PC on Top
- Flexible and dedicated “EdgeBoost Nodes” on Bottom
Cannister Bricks. Hot-Swappable & Removable
The RCO-6000-CFL-8NS AI Edge Inference Computer enables NVMe storage in a unique cannister brick design. These hot-swappable NVMe cannister bricks streamline and assist with data offload directly from the computer into a centralized location. The ability to quickly swap cannisters bricks provides easy data management and enterprise redundancy for applications that use data for machine learning and inference analysis.
- 1x – Hot-Swappable, Lockable, and Removable Cannister Brick
- Includes x4 Individual 2.5” toolless NVMe SSD Drive Trays
- RAID Options available
Reliable Cooling Where It Counts
When the RCO-6000-CFL-8NS AI Edge Inference Computer Series is equipped with an EdgeBoost node, the enclosure housing the NVMe SSD storage drives and/or GPU comes with a dedicated hot-swappable blower fan, delivering high RPM active cooling for where it matters most. Unlike other fan designs, this fan can be easily accessed and replaced in seconds, eliminating detrimental downtime in compute heavy applications.
Connecting From The Rugged Edge
The RCO-6000-CFL-8NS AI Edge Inference Computer support five antennae that wirelessly connects to Wi-Fi, cellular and GPS systems. Onboard Wi-Fi 6 and Bluetooth 5 technologies reliably connect to IoT sensors and network systems. Dual external access SIM sockets provide continuous 4G/LTE cellular connectivity at remote of mobile edge deployments. An optional modular add-in card also grants the industrial edge computer 5G connectivity for additional ultra-low latency connections.
Vast I/O Expandability
The RCO-6000-CFL Industrial Computer Series support rich expandability to boost wireless connectivity, streamline integration and unlock automation capabilities in harsh deployments. Leading edge and legacy technologies are easily incorporated into a powerful, intelligent IoT solution. Flexible add-in modules provide additional ethernet I/O ports in 1GbE (RJ45 & M12), 10GbE (RJ45), USB 3.0, and 5G ready M.2 for scalable connectivity in IoT deployments at the edge.
Specification
| System | |
|---|---|
| Processor | Support 9th Gen Intel® Core™ CFL-R S Processor (LGA 1151, 35W TDP) - Intel® Core™ i7-9700TE, 8 Cores, 12MB cache, up to 3.8 GHz - Intel® Core™ i5-9500TE, 6 Cores, 9MB Cache, up to 3.6 GHz - Intel® Core™ i3-9100TE, 4 Core, 6MB Cache, 3.2 GHz |
| System Chipset | Intel® Q370 Express Chipset |
| LAN Chipset | GbE1: Intel I219LM (Support Wake-on-LAN and PXE) GbE2: Intel I210-AT (Support Wake-on-LAN and PXE) |
| Audio Codec | Realtek ALC888S |
| System Memory | 2x 260-Pin DDR4 2400/2666MHz SODIMM. Max. up to 64GB (Un-buffered and Non-ECC) |
| Graphics | Intel® UHD Graphics 610/630 |
| BIOS | AMI 256Mbit SPI BIOS |
| Watchdog | Software Programmable Supports 1~255 sec. System Reset |
| AI Accelerator | Hailo-8™ Module m.2 M-Key PCIe x4 (Optional) |
| TPM | TPM 2.0 |
| Display | |
| Display Port | 2x DisplayPort, support resolution 4096 x 2304 |
| DVI | 1x DVI-I, support resolution 1920 x 1200 |
| Multiple Display | Triple Display |
| VGA | Yes (by optional split cable) |
| Storage | |
| M.2 | 1x M.2 (M Key, NVMe PCIe x4, 2280) 1x M.2 (E Key, PCIe x2, 2230, USB 2.0, Support CNVi) |
| mSATA | 1x mSATA (shared by 1x Mini PCIe) |
| NVMe | 2x Removable Cannister Bricks with 2.5" 8 Bay U.2 NVMe SSD (Support H=7mm) |
| SIM Socket | 2x External SIM socket |
| SSD/HDD | 2x Internal 2.5" SATA HDD Bay (support H=9.5mm) 2x Hotswap 2.5" SATA HDD Bay (support H=7mm) Support RAID 0, 1, 5, 10 |
| Expansion | |
| Mini PCIe | 2x Full-size Mini PCIe (1x Shared with mSATA) |
| PCIe | 1x PCIe x4 (x1 Lane) |
| Expansion Modules |
|
| I/O | |
| Audio | 1x Mic-in, 1x Line-out |
| COM | 4x RS-232/422/485 ; 2x RS-232/422/485 (internal) |
| DIO | 8 in / 8 out (Isolated) |
| LAN | 2x RJ45 |
| Universal I/O Bracket | 1x Universal I/O Bracket (By mini PCIe interface) |
| USB | 4x USB 3.2 Gen 2 (10Gbps) 5x USB 3.2 Gen 1 (5 Gbps) 1x USB 3.2 Gen 1 header (5 Gbps, internal) |
| Others | 5x WiFi Antenna Holes 1x Power Switch, 1x AT/ATX Switch, 1x Remote Power On/Off 1x PC/Car Mode Switch, 1x Delay Time Switch 1x Removable CMOS Battery |
| Operating System | |
| Windows | Windows 10 |
| Linux | Linux kernel 5.X |
| Power | |
| Power Adapter | Optional AC/DC 24V, 220W/280W Optional AC/DC 24V, 220W for GPU |
| Power Mode | AT, ATX |
| Power Ignition Sensing | Power Ignition Management |
| Power Supply Voltage | 9~48VDC for Computer, 12-48VDC for NVMe EDGEboost Node |
| Power Connector | 3-pin Terminal Block for Computer, 4-pin Terminal Block for NVMe EDGEBoost Node (12V requires 4-pin terminal block) |
| Power Protection | Over-Voltage Protection (OVP) Over-Current Protection (OCP) Reverse Polarity Protection (RPP) |
| Environment | |
| Operating Temperature | -25°C to 60°C (35W CPU) |
| Storage Temperature | -30°C ~ 85°C |
| Relative Humidity | 10% to 95% (non-condensing) |
| Certification | CE, FCC Class A, E-Mark, EMC Conformity with EN 50155, EN 50121-3-2 |
| Vibration | 3 Grms, 5 ~ 500 Hz, 0.5 hr/axis (SSD) 1 Grms, 5 ~ 500 Hz, 0.5 hr/axis (HDD) |
| Shock | 20G, half-sine, 11 ms (SSD) |
| Physical | |
| Dimensions (W x H x D) | 261 (D) x 240 (W) x 168 (H) |
| Weights | 10.1kg |
| Construction | Extruded aluminum with heavy duty metal |
| Mounting Options | Wall Mounting |
Mechanical Layout
Product Dimension
Unit:mm
Resources
| Data Sheet |
DS_RCO-6000-CFL-8NS_Premio.pdf
|
| Install Guide |
LTE Modem Installation Guide.pdf
|
| Modules |
Ethernet ModuleDS_Ethernet-Modules-LAN-M12.pdfUSB ModuleDS_DTB-4U3.pdf5G ModuleDS_DTB_M2BK.pdf |
| Product Brief |
AI Edge Inference Computer_compressed.pdf
PB_Edgebost Nodes Series_RCO_6000.pdf |
| User's Manual |
UM_RCO-6000-CFL_4N2060S-4NH-8NS.pdf
|