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Xiamen Yingyi Automation Technology Co., Ltd
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Xiamen Yingyi Automation Technology Co., Ltd

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    Room 602, No. 482 Xinglinwan Road, Jimei District, Xiamen City

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Module FX1S-20MT-ES Adaptive Control

NegotiableUpdate on 06/10
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Overview

Module FX1S-20MT-ES Adaptive Control We are a company mainly engaged in various brands of automation equipment accessories. Our main products include distributed control systems (DCS), processors (CPU), programmable logic controllers (PLC), industrial control communication converters, input/output modules (I/O), human-machine interface touch screens, frequency converters and other industrial automation equipment accessories.

Product Details

Module FX1S-20MT-ES Adaptive Control


Regarding different distribution schemes, they can generally be divided into three categories:

1. Directly distribute power from the low-voltage main switch:

This type of distribution level is powered by one or more medium/low voltage transformers connected to a shared medium voltage power grid

a、 Areas with different locations, such as factory workshops, production areas of industrial plants, and various floors of office buildings;

b、 Industrial production uses such as air compressors, large capacity cooling water units, or unit air conditioners, elevators, etc.

2. Distribution cabinet: used to distribute electricity to the electrical loads in each area.

3. Terminal distribution cabinet: used to supply power to various electrical loads.


Module FX1S-20MT-ES Adaptive Control

1794-IF4I 2094-BC02-M02-S
1794-IF4IXT 2094-BC04-M03-M
1794-IF8IH 2094-BC07-M05-S
1794-IG16 2094-BM01-M
1794-IH16 2094-BM01-S
1794-IJ2 2094-BM02-M
1794-IM16 2094-BM02-S
1794-IM8 2094-BM03-M
1794-IR8 2094-BM03-S
1794-IRT8 2094-BM05-S
1794-IT8 2094-BMP5-S
1794-IV16 2094-BNCON-1
1794-IV32 2094-EN02D-M01-S1
1794-OA16 2094-PRS1
FU-66 LV-21A
PZ-G61N FU-77TZ
EM-030 KL-16BT
PZ2-61 KL-16BR
GT2-H12K KL-4AD
DL-PN1 EV-118U
OP-76874 FU-7F
OP-77682 OP-51657
GT2-71N FU-52TZ
GT2-72N FS-N11N
GT2-CH5M PR-MB15N1
LK-G3001V FU-10
LK-G405 KV-AD40
LK-GC30 KV-L21V
LK-G505 FU-VJ1
CB-A30 LK-G155
PZ-G41P FU-21X
FU-53TZ EV-108U
FU-46 SJ-F036

On March 24, 2026, Arm Holdings Limited (NASDAQ: ARM, hereinafter referred to as Arm) announced today that its computing platform has entered a new stage of development, extending its product matrix to the field of mass-produced chip products. The product is Arm ® AGI CPU, A CPU designed independently by Arm for artificial intelligence (AI) data centers, aimed at meeting the growing demand for agentic AI workloads.

For over thirty years, the industry has continuously innovated based on the Arm computing platform, achieving scalable and energy-efficient computing capabilities on billions of devices. As AI reshapes the global computing infrastructure, the entire ecosystem is seeking solutions for large-scale deployment of Arm technology. To this end, Arm has expanded its platform strategy by introducing new Arm independently designed chip products based on its existing IP and Compute Subsystems (CSS) business, providing partners with the option to build solutions based on Arm technology and accelerating the innovation process of the entire AI ecosystem.

Arm CEO Rene Haas said, "AI fundamentally reshapes the construction and deployment of computing, and proxy computing is further accelerating this transformation. Today marks a new stage of development for the Arm computing platform and an important milestone for the company's growth. With the launch of Arm AGI CPU chips, we will provide our partners with more choices based on Arm's high-performance and high-efficiency computing foundation, helping to achieve global scale deployment of proxy AI infrastructure. ”

Proxy AI is reshaping AI infrastructure and driving stronger demand for CPUs

The rise of AI intelligent agents is driving the global computing industry to a critical turning point. As the focus of AI applications gradually shifts from model training to deploying intelligent agents with sustainable operation, reasoning, planning, and execution capabilities, the number of tokens generated by the entire AI system is rapidly increasing, and more CPUs are urgently needed to carry tasks such as inference, collaborative scheduling, and data migration.

As enterprises continue to expand the scale of applications driven by intelligent agents, the demand for CPU computing power provided by data centers per gigawatt (GW) of power consumption will increase by more than four times, which means that a significant increase in computing power must be achieved under the same power consumption constraints. This trend has spurred the emergence of CPUs for AI scale infrastructure, which can support the performance required for high throughput while meeting energy efficiency requirements under actual power consumption limitations. At the same time, they adopt a simplified architecture to eliminate the additional overhead and complexity of x86 processors.