- October 31, 2022
- Premio Computer Inc.
Empower data acquisition and inference analysis for machine intelligence
The proliferation of data—as well as the applications it drives—is creating seismic shifts. These shifts require specialization to create systems more capable of interacting with AI workloads, both efficiently and on-demand.
Powerful machine learning (ML) and artificial intelligence (AI) workloads are the key driving forces behind the future of automation. To implement AI applications at the rugged edge, businesses and organizations require more computing power to train machines and enable real-time intelligence through neural networks.
To meet the demands of growing complex AI models, powerful AI edge inference computers are being deployed in close proximity to data sensors to enable automation and machine intelligence with incredible processing speeds. These AI edge inference computers process the high influx of data and make critical decisions in real-time to enable organizations to respond to situational data, providing the basis for reducing downtime, achieving low-latency data processing, and optimizing mission critical business insights with actionable intelligence.
Premio’s RCO-6000-CML AI Edge Inference Computer
The RCO-6000-CML Series AI Edge Inference Computer is a rugged, fanless, and high-performance design that offers powerful processing for a variety of workloads ranging from intelligent automation, machine learning, IoT telemetry, and more. Our flagship industrial grade computer incorporates advanced performance supported by Intel’s 10th Generation Core Comet Lake S and W480E chipset in 35W TDP. In addition to 10th Generation Core support, the RCO-6000-CML can support Intel XEON processor to offer server-grade performance in an fanless, embedded profile. Intel’s XEON W-1290TW is a low-power (35W TDP) processor delivering up to 10 hyperthreading cores for multitasking and supports error correction code (ECC) memory for data redundancy. Implementing XEON® processors ensures powerful and reliable performance benchmarks amid the most compute-intensive applications.
The RCO-6000-CML model is a rugged computing solution capable of delivering the highest performance in the harshest environments. Through its rugged and fanless design, it can withstand exposure to a wide range of challenging conditions.
- Wide Operating Temperature Range: -25oC to 70oC
- Shock and Vibration Resistance: 50G of shock and 5Grms vibration resistance/20G of shock & 3 Grms vibration resistance w/ GPU
- Wide Voltage Input: 9V to 48VDC
- Programmable Power Ignition Management
- TPM 2.0 for password protection, device authentication and cybersecurity
Three Key Features of RCO-6000-CML
A prominent feature to the RCO-6000-CML is a unique two-piece modular design, allowing customers to mix and match performance based ‘EDGEBoost’ nodes to suit their specific application at the edge. These modular add-on nodes offer powerful inferencing or high-performance storage capabilities to accelerate machine learning and AI workloads. Customers can pick from a variety of configurations that include:
- Lockable and hot-swappable NVMe SSD storage
- High density, lockable, and hot-swappable SATA SSD storage GPU/M.2 acceleration modules
Rich Connectivity at the Edge
In addition to its unique mechanical modular design, the RCO-6000-CML offers multiple expandable I/O options on top of its existing motherboard I/O. Through a universal dual socket bracket, users can select from a wide range of modular I/O daughterboards including:
- USB 3.1 Gen 2 ports
- LAN & PoE in wired RJ45/M12 connector
- Dual 10 GbE in RJ45 connector
- Dual-SIM 5G module
The RCO-6000-CML Series also supports a two-channel, two-pin CAN Bus I/O and Protocol embedded on the motherboard. The CAN Bus support allows the computer to leverage vehicle telematics data for intelligent transportation systems, fleet management, process analytics, and system optimization.
Built Rugged. Built Ready.
The RCO-6000-CML AI Edge Inference computer can process an influx of data and make critical decisions in real-time with its performance-based features. Key benefits are better responses to situational data, low-latency data processing, and mission critical business insights based on actionable intelligence.
To learn more about the RCO-6000-CML and see if it is the right fit for your edge AI application, visit our website to contact a member of our sales team today.