5AGXMB5G4F35C5N
5AGXMB5G4F35C5N
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Intel Corporation

5AGXMB5G4F35C5N


5AGXMB5G4F35C5N
F18-5AGXMB5G4F35C5N
Active
IC FPGA 544 I/O 1152FBGA
1152-FBGA (35x35)

5AGXMB5G4F35C5N ECAD Model


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5AGXMB5G4F35C5N Attributes


Type Description Select
Mfr Intel
Series Arria V GX
Package Tray
Number of LABs/CLBs 19811
Number of Logic Elements/Cells 420000
Total RAM Bits 23625728
Number of I/O 544
Voltage - Supply 1.07V ~ 1.13V
Mounting Type Surface Mount
Operating Temperature 0°C ~ 85°C (TJ)
Package / Case 1152-BBGA, FCBGA Exposed Pad
Supplier Device Package 1152-FBGA (35x35)
Base Product Number 5AGXMB5

5AGXMB5G4F35C5N Datasheet Download


5AGXMB5G4F35C5N Overview



The chip model 5AGXMB5G4F35C5N is a powerful and versatile device that is suitable for high-performance digital signal processing, embedded processing, image processing, and other applications. It is capable of running complex algorithms and requires the use of HDL language to program it.


The chip model 5AGXMB5G4F35C5N is capable of being used in a variety of network applications and intelligent scenarios. It can be used in the era of fully intelligent systems to process data, control devices, and communicate with other systems. This chip can be used in the development and popularization of future intelligent robots. It can be used to control the robot’s movements, sense its environment, and process the data it collects.


In order to use the chip model 5AGXMB5G4F35C5N effectively, one must understand the HDL language and have a good grasp of how to program it. Knowledge of the chip’s architecture, its capabilities, and how to optimize its performance are also necessary. Additionally, knowledge of robotics, AI, and machine learning is also helpful for programming the chip for use in the development and popularization of future intelligent robots.


Overall, the chip model 5AGXMB5G4F35C5N is a powerful and versatile device that is capable of being used in a variety of network applications and intelligent scenarios. It can be used in the development and popularization of future intelligent robots, but one must have a good understanding of the HDL language and the chip’s architecture, capabilities, and optimization in order to use it effectively.



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