Editor's Note: This blog was originally published by Intel and republished here with permission. 

Though they seem to be entirely different verticals that have widely disparate needs, industries such as healthcare, retail, smart building, and industrial automation, are all looking for similar things these days. They all want to pursue Edge AI hardware and tools across many applications, but they need assurance that the devices and solutions are secure, reliable, secure, resilient, and most of all, secure.

Applications such as IoT gateways, computer vision, security and surveillance, edge AI inferencing, and digital signage/POS can support a wide range of industries. However, these use cases depend on hardware that delivers consistent performance, high reliability, and rock-solid stability at the edge.

Supermicro’s SYS-E103-14P is designed to address these edge AI requirements. Built on the Series 3 Intel® Core™ Ultra processor, this high-performance, industrial fanless computer combines compact deployment with powerful AI acceleration. Its unified AI engine delivers up to 180 platform TOPS, while the integrated NPU 5 provides up to 50 dedicated TOPS for low-latency, real-time inferencing. These capabilities support cross-industry workloads, such as object detection, safety monitoring, quality assurance, and inventory management.

The system supports Series 3 Intel® Core™ Ultra processors for three different inferencing needs:

• Intel® Core™ Ultra X7 Processor 368H: The flagship, featuring 16 cores and a powerful 12-core Xe3 iGPU for heavy vision-based AI.

• Intel® Core™ Ultra 5 Processor 336H: Balanced 12-core configuration for high-efficiency edge analytics.

• Intel® Core™ Ultra 5 Processor 335: Optimized for consistent, low-power control operations.

With up to 128GB DDR5-5600MT/s memory and PCIe 5.0 storage, this fanless unit is set up to be an AI powerhouse in a compact, manageable package. It offers dual 2.5GbE ports, optional POE, and wide-range power input for industrial stability.

Key Features

• AI Performance up to 180 TOPS through the CPU/GPU/NPU hybrid computing
• Fanless Embedded chassis with 5.5" (140mm) depth
• Series 3 Intel® Core™ Ultra 7 processor 368H
• Up to 2 CSO/SO-DIMMs supporting up to 128GB DDR5-5600MHz
• 2 2.5GbE LAN with PoE and 1 1GbE LAN
• Intel vPro® Platform for Out-of-Band Management
• 1 M.2 M-key 2242/2280, PCIe Gen5x4;
• 1 M.2 E-key 2230, PCIe Gen4x1/USB2.0;
• 1 M.2 B-key 2242/2280/3052 w/ nano SIM, PCIe Gen4x1 and USB3.2/USB2.0
• 2 NVMe 2280 at 2 M.2 M-Key
• 2 HDMI 2.1; 2 USB 3.2 Gen 2& 4 USB2.0; 2 RS-232/422/485; 1 8 bits GPIO
• DC 12-36V wide range power input support; 1 Lockable 150W 12V DC Power Adapter

For reliability, the system supports an operating temperature range of 0°C to 45°C (32°F to 113°F) and a non-operating temperature range of 0°C to 60°C (32°F to 140°F). It also supports non-condensing relative humidity levels of 8 percent to 90 percent during operation and 5 percent to 95 percent when non-operating. For hardware-based security, the platform includes Trusted Platform Module (TPM) 2.0 support.

The Supermicro SYS-E103-14P offers hefty processor power in a compact, DIN-rail mountable, fanless edge platform that is purpose-built for AI inferencing at the point where data is generated. It’s hard to argue that almost any business wouldn’t be able to enhance operations with that kind of help. This Supermicro system can run agentic AI, computer vision, and industrial automation workloads efficiently without requiring a discrete GPU, and any user will be able to make that work for them.

Learn more about high-performance Edge AI solutions powered by Intel and Supermicro.