5SGXEA3K1F40I2N
5SGXEA3K1F40I2N
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Intel Corporation

5SGXEA3K1F40I2N


5SGXEA3K1F40I2N
F18-5SGXEA3K1F40I2N
Active
IC FPGA 696 I/O 1517FBGA
1517-FBGA (40x40)

5SGXEA3K1F40I2N ECAD Model


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5SGXEA3K1F40I2N Attributes


Type Description Select
Mfr Intel
Series Stratix® V GX
Package Tray
Number of LABs/CLBs 128300
Number of Logic Elements/Cells 340000
Total RAM Bits 19456000
Number of I/O 696
Voltage - Supply 0.87V ~ 0.93V
Mounting Type Surface Mount
Operating Temperature -40°C ~ 100°C (TJ)
Package / Case 1517-BBGA, FCBGA
Supplier Device Package 1517-FBGA (40x40)
Base Product Number 5SGXEA3

5SGXEA3K1F40I2N Datasheet Download


5SGXEA3K1F40I2N Overview



The chip model 5SGXEA3K1F40I2N is a high-performance, low-power integrated circuit designed for digital signal processing, embedded processing, and image processing. It is designed to be programmed using the HDL language, which makes it suitable for a variety of applications.


The 5SGXEA3K1F40I2N chip model is well-suited for use in networks, as it can provide the necessary processing power to handle a wide range of tasks. It can be used to provide high-speed data transmission and secure communication between multiple devices. Additionally, the chip model can be used to provide intelligent capabilities, such as facial and object recognition, natural language processing, and other deep learning applications.


The 5SGXEA3K1F40I2N chip model is also suitable for use in the development and popularization of future intelligent robots. The chip model provides the necessary processing power to handle complex tasks, and the HDL language makes it easy to program the robot's behavior. Additionally, the chip model can be used to provide the robot with intelligent capabilities, such as facial and object recognition, natural language processing, and other deep learning applications.


In order to effectively use the 5SGXEA3K1F40I2N chip model, technical talents such as software engineers, electrical engineers, and computer scientists are needed. The software engineers will be responsible for programming the chip model using the HDL language, while the electrical engineers will be responsible for the hardware design of the robot. Finally, the computer scientists will be responsible for creating the algorithms and software necessary to provide the robot with intelligent capabilities.



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