
Intel Corporation
5AGXMB5G4F35C5N
5AGXMB5G4F35C5N ECAD Model
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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