
Intel Corporation
5SGXMA3E3H29I3LN
5SGXMA3E3H29I3LN ECAD Model
5SGXMA3E3H29I3LN 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 | 600 | |
Voltage - Supply | 0.82V ~ 0.88V | |
Mounting Type | Surface Mount | |
Operating Temperature | -40°C ~ 100°C (TJ) | |
Package / Case | 780-BBGA, FCBGA | |
Supplier Device Package | 780-HBGA (33x33) | |
Base Product Number | 5SGXMA3 |
5SGXMA3E3H29I3LN Datasheet Download
5SGXMA3E3H29I3LN Overview
The 5SGXMA3E3H29I3LN is an Altera FPGA chip model designed for high-performance applications. It is a 28nm device with a capacity of up to 29,000 logic elements and up to 3.8 million system gates. It features a range of features, such as high-speed transceivers, embedded memory blocks, and dedicated logic blocks. It also has a wide range of I/O options, including LVDS, PCI Express, and SATA interfaces.
The chip is designed for a variety of applications, including high-speed networking, data processing, and embedded systems. It is ideal for applications requiring high performance, low power consumption, and scalability. It is also suitable for applications requiring high levels of integration, such as video and image processing, as well as machine learning and artificial intelligence.
The 5SGXMA3E3H29I3LN is designed to operate at a maximum clock speed of 800 MHz and is able to support up to 1.2 Gbps of internal bandwidth. It has a total of 1,024 I/O pins and supports up to eight banks of DDR3 memory. It also has a range of built-in features, such as on-chip debug, JTAG, and system monitoring.
Overall, the 5SGXMA3E3H29I3LN is a high-performance FPGA chip designed for a wide range of applications. It offers a high level of integration and scalability, as well as low power consumption and high speed. It is suitable for a variety of applications, including high-speed networking, data processing, embedded systems, video and image processing, and machine learning.
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