Vecow Launched ECX-2400/2200 PEG 10th Gen Intel Xeon/Core Workstation-Grade AI Computing System

By Tiera Oliver

Associate Editor

Embedded Computing Design

October 26, 2020

News

Vecow Launched ECX-2400/2200 PEG 10th Gen Intel Xeon/Core Workstation-Grade AI Computing System

The series provides workstation-grade computing capability and providing balance between reliability and power budget for applications of edge computing.

Vecow announced the release of the latest AI Computing System, ECX-2400/2300 PEG and ECX-2200/2100 PEG. The system is powered by the 10th Gen Intel Xeon/Core i9/i7/i5/3 Processor and integrated with NVIDIA Tesla/Quadro/GeForce Graphics.

The series provides workstation-grade computing capability and providing balance between reliability and power budget for applications of edge computing. Vecow ECX-2400/2200 PEG is ideal for Robotic Control, Traffic Vision, Public Surveillance, Smart Vending, Automatic LPR, AMR/AGV, and AIoT/Industry 4.0 applications.

Per the company, the Vecow ECX-2400/2200 PEG Series processor provides a 45% increase in system performance, and 87% improvement in graphics performance. It features Intel W480E chipset and supports DDR4 up to 64GB memory. The ECX-2400/2200 PEG Series allows 9V~50V wide range DC power input with 80V surge protection and supports high-speed configurations, including USB 3.2(10G), PCIe 3.0 (8GT/S), SATA III (6G), and GigE LAN (1G).

Complete with integrated configurations, Vecow ECX-2400/2300 PEG is designed to increase scalability by providing 4 front-access SSD/HDD Trays, 2 PCI/PCIe slots for dedicated graphics cards including NVIDIA Tesla/Quadro/GeForce with up to 2560 CUDA cores for advanced AI computing. In addition to ECX-2400/2300 PEG, the Vecow ECX-2200/2100 PEG is a compact and low-profile design which features 2 front-access SSD/HDD Trays, 1 PCIe expansion slot while delivering ideal computing capabilities. Furthermore, featuring a range of I/O, including up to 6 GigE LAN with 4 PoE+ ports, 6 USB, 4 COM, 32 Isolated DIO, ECX-2400/2200 PEG helps accelerate mission-critical AI applications deployment.

For more information, visit: www.vecow.com

Tiera Oliver, Associate Editor for Embedded Computing Design, is responsible for web content edits, product news, and constructing stories. She also assists with newsletter updates as well as contributing and editing content for ECD podcasts and the ECD YouTube channel. Before working at ECD, Tiera graduated from Northern Arizona University where she received her B.S. in journalism and political science and worked as a news reporter for the university’s student led newspaper, The Lumberjack.

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