5SGXEA7K3F40C2LN
5SGXEA7K3F40C2LN
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Intel Corporation

5SGXEA7K3F40C2LN


5SGXEA7K3F40C2LN
F18-5SGXEA7K3F40C2LN
Active
IC FPGA 696 I/O 1517FBGA
1517-FBGA (40x40)

5SGXEA7K3F40C2LN ECAD Model


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5SGXEA7K3F40C2LN Attributes


Type Description Select
Mfr Intel
Series Stratix® V GX
Package Tray
Number of LABs/CLBs 234720
Number of Logic Elements/Cells 622000
Total RAM Bits 51200000
Number of I/O 696
Voltage - Supply 0.82V ~ 0.88V
Mounting Type Surface Mount
Operating Temperature 0°C ~ 85°C (TJ)
Package / Case 1517-BBGA, FCBGA
Supplier Device Package 1517-FBGA (40x40)
Base Product Number 5SGXEA7

5SGXEA7K3F40C2LN Datasheet Download


5SGXEA7K3F40C2LN Overview



The 5SGXEA7K3F40C2LN is an Altera Stratix V FPGA (Field Programmable Gate Array) chip model. It is a mid-range, high-performance FPGA with a large array of features and capabilities. This model is based on the Stratix V architecture and is designed for a wide range of applications.


The 5SGXEA7K3F40C2LN has a total of 1.2 million logic elements, 6,272 embedded memory blocks, and 1,056 18x18 multipliers. It also has 4,096 Digital Signal Processing (DSP) blocks and up to 160 I/O pins. It is a high-speed device, with a maximum operating frequency of up to 667 MHz.


The 5SGXEA7K3F40C2LN is ideal for a variety of applications, including communications, embedded systems, video and image processing, automotive, industrial, and medical applications. It is also suitable for high-performance computing tasks such as artificial intelligence, machine learning, and data analytics.


In terms of power consumption, the 5SGXEA7K3F40C2LN has a maximum power dissipation of up to 25 W, and a standby power dissipation of up to 0.5 W. It also has a wide operating temperature range of -40 to +85°C.


Overall, the 5SGXEA7K3F40C2LN is a powerful, mid-range FPGA chip model with a wide range of features and capabilities. It is suitable for a variety of applications, including communications, embedded systems, video and image processing, automotive, industrial, and medical applications. It is also suitable for high-performance computing tasks such as artificial intelligence, machine learning, and data analytics.



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