EP20K100QC208-3
EP20K100QC208-3
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Intel

EP20K100QC208-3


EP20K100QC208-3
F18-EP20K100QC208-3
Active
IC FPGA 159 I/O 208QFP
208-PQFP (28x28)

EP20K100QC208-3 ECAD Model


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EP20K100QC208-3 Attributes


Type Description Select
Mfr Intel
Series APEX-20K®
Package Tray
Number of LABs/CLBs 416
Number of Logic Elements/Cells 4160
Total RAM Bits 53248
Number of I/O 159
Number of Gates 263000
Voltage - Supply 2.375V ~ 2.625V
Mounting Type Surface Mount
Operating Temperature 0°C ~ 85°C (TJ)
Package / Case 208-BFQFP
Supplier Device Package 208-PQFP (28x28)
Base Product Number EP20K100

EP20K100QC208-3 Datasheet Download


EP20K100QC208-3 Overview



The chip model EP20K100QC208-3 is an advanced FPGA chip that offers a variety of features that make it an ideal choice for high-performance digital signal processing, embedded processing, and image processing. This chip model requires the use of HDL language, which is a hardware description language used to program the chip. The EP20K100QC208-3 chip model offers several advantages, such as a high-performance architecture, low power consumption, and high reliability. These features make the chip model suitable for a variety of applications, from consumer electronics to industrial automation.


The EP20K100QC208-3 chip model is expected to be in high demand in the future, due to its versatile features and the increasing demand for advanced technologies in the related industries. With its high-performance architecture and low power consumption, the chip model is expected to be used in a variety of applications, such as medical imaging, autonomous vehicles, and industrial automation. Furthermore, the chip model can also be used in the development and popularization of future intelligent robots.


Using the EP20K100QC208-3 chip model effectively requires a certain level of technical expertise. Professionals in the field of HDL programming, digital signal processing, embedded programming, and image processing should have the necessary skills to use the chip model effectively. Additionally, professionals in the field of robotics engineering should also have the necessary knowledge to develop and popularize future intelligent robots using the chip model.



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