
Intel Corporation
5SGXEA7K3F40C2LN
5SGXEA7K3F40C2LN ECAD Model
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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