
Intel Corporation
5SGXEA3K1F40I2N
5SGXEA3K1F40I2N ECAD Model
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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