Tables

 

 

Tables

 

Table 1 KEMX-2030 Specification

17

Table 2 Jumper List

22

Table 3 JP1

Backlight Enable Selection

22

Table 4 JP2

Backlight & Panel Power Selection

22

Table 5 JP3

Clear CMOS Selection

22

Table 6 JP4

COM1 Signal / Power Selection

23

Table 7 JP5/ 6/ 7 COM2/ 3/ 4 Signal / Power Selection

23

Table 8 JP8

For Quanmax internal test only

23

Table 9 JP9

Power Mode Selection

23

Table 10 Rear Panel Connector List

24

Table 11 AUDIO1, 3-Port Audio phone jack

24

Table 12 USB2, USB2.0 Port 2 , 3 Type A Connector

24

Table 13 CN9, USB2.0 Port 0, 1 Connector & Ethernet RJ-45 Connector . 25

Table 14 CN1

 

VGA Connector & RS-232 Port A DB-9 Connector

25

Table 15 CN 10, PS/2 KB/MS Connector

26

Table 16 J1, +12V Power Input Connector

26

Table 17 Internal Connector List

27

Table 18 CN2, Panel Backlight Wafer

27

Table 19 CN3, Digital Input / Output Pin Header

28

Table 20 CN4, Front Panel Audio Pin Header

28

Table 21 CN5, CD-In Connector

28

Table 22 CN6, S/PDIF Pin Header

28

Table 23 CN7, Audio AMP Right Output Wafer

29

Table 24 CN8, Audio AMP Left Output Wafer

29

Table 25 CN11, AT Power Output Wafer

29

Table 26 FP1, Front Panel 1 Pin Header

29

Table 27 FP2, Front Panel 2 Pin Header

30

Table 28 LVDS1, LVDS Panel Connector

30

Table 29 IDE1, Primary 44-pin IDE Box Header

31

Table 30 SATA1,2, SATA Connector

31

Table 31 USB3, USB2.0 Port 4, 5 Pin Header

32

Table 32 USB4, USB2.0 Port 6, 7 Pin Header

32

Table 33 COMx

RS-232Port-x Box Header（x = 2, 3, 4）

32

Table 34 PCIE1

PCIE slots

33

KEMX-2030 User’s Manual

6

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Intel KEMX-2030 user manual Tables
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KEMX-2030 specifications

The Intel KEMX-2030 is a cutting-edge processor designed to push the boundaries of performance and efficiency in computing applications. This innovative chip integrates advanced technologies that cater to a variety of users, from gamers to data scientists, ensuring that it meets the demands of modern workloads.

At the heart of the KEMX-2030 is Intel's latest microarchitecture, which enhances instruction execution and optimizes power consumption. This microarchitecture employs a combination of high-performance cores and energy-efficient cores, allowing for dynamic scaling based on workload requirements. This enables the KEMX-2030 to deliver exceptional performance while maintaining energy efficiency, a crucial factor in today's environmentally conscious world.

One of the standout features of the KEMX-2030 is its support for Intel's Hyper-Threading technology. This technology allows each core to handle two threads simultaneously, effectively doubling the number of tasks the processor can manage at once. As a result, users can experience improved multitasking and faster processing times, especially in applications that require heavy computations.

The KEMX-2030 also includes built-in artificial intelligence (AI) capabilities that facilitate real-time machine learning applications. With dedicated AI accelerators, the processor can efficiently execute complex algorithms, making it suitable for tasks such as image and speech recognition, natural language processing, and more. This integration of AI and machine learning technologies not only boosts productivity but also opens up new avenues for innovation across industries.

In terms of connectivity, the KEMX-2030 supports the latest standards, including Thunderbolt 4 and USB4. This enables high-speed data transfers and connectivity to a wide array of peripherals. Additionally, the processor is optimized for use in edge computing environments, making it an ideal choice for IoT applications that require quick and reliable data processing at the source.

Thermal management is another critical aspect of the KEMX-2030's design. The processor utilizes advanced thermal throttling techniques to regulate temperature effectively during intensive tasks. This ensures stable performance without the risk of overheating, prolonging the lifespan of the hardware.

In summary, the Intel KEMX-2030 represents a significant advancement in processor technology. With its high-performance capabilities, energy-efficient design, and robust support for AI and connectivity, it is poised to become a preferred choice for a wide range of computing applications, driving innovation and efficiency in various fields.
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