
Intel Corporation
5SGXEA3K2F35C2L
5SGXEA3K2F35C2L ECAD Model
5SGXEA3K2F35C2L 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 | 432 | |
Voltage - Supply | 0.82V ~ 0.88V | |
Mounting Type | Surface Mount | |
Operating Temperature | 0°C ~ 85°C (TJ) | |
Package / Case | 1152-BBGA, FCBGA | |
Supplier Device Package | 1152-FBGA (35x35) | |
Base Product Number | 5SGXEA3 |
5SGXEA3K2F35C2L Datasheet Download
5SGXEA3K2F35C2L Overview
The chip model 5SGXEA3K2F35C2L is an advanced device designed for high-performance digital signal processing, embedded processing, and image processing. It is capable of handling complex tasks and requires the use of HDL language. With its powerful capabilities, it is an ideal choice for many industrial applications.
The industry trend of the chip model 5SGXEA3K2F35C2L is to continue to improve its performance and capabilities to meet the needs of modern applications. As new technologies become available, the model can be adapted to take advantage of them. The model is also being used in the development and popularization of future intelligent robots, as it can provide the necessary processing power and accuracy.
The use of the chip model 5SGXEA3K2F35C2L requires the knowledge of HDL language and a thorough understanding of the device's capabilities. In order to use the model effectively, technical talents with a strong background in digital signal processing, embedded processing, and image processing are needed. Additionally, the user should have a good understanding of the available technologies and be able to apply them to the task at hand.
In conclusion, the chip model 5SGXEA3K2F35C2L is a powerful device that can be used in a variety of applications. Its industry trend is to continue to improve and take advantage of new technologies. It is also being used in the development and popularization of future intelligent robots. To use the model effectively, technical talents with a strong background in digital signal processing, embedded processing, and image processing are needed.
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