Altera 5SGXEA7N2F40I3LG
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- 5SGXEA7N2F40I3LG
- Altera
- IC FPGA 600 I/O 1517FBGA
- Embedded - FPGAs (Field Programmable Gate Array)
- 5SGXEA7N2F40I3LG Datasheet
- 1517-BBGA, FCBGA
- Tray
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Lead free / RoHS Compliant - 7322
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What is 5SGXEA7N2F40I3LG
Altera Part Number 5SGXEA7N2F40I3LG（Embedded - FPGAs (Field Programmable Gate Array)）, developed and manufactured by Altera, distributed globally by Jinftry. We distribute various electronic components from world-renowned brands and provide one-stop services, making us a trusted global electronic component distributor.
5SGXEA7N2F40I3LG is one of the part numbers distributed by Jinftry, and you can learn about its specifications/configurations, package/case, Datasheet, and other information here. Electronic components are affected by supply and demand, and prices fluctuate frequently. If you have a demand, please do not hesitate to send us an RFQ or email us immediately [email protected] Please inquire about the real-time unit price, Data Code, Lead time, payment terms, and any other information you would like to know. We will do our best to provide you with a quotation and reply as soon as possible.
5SGXEA7N2F40I3LG Specifications
- Part Number5SGXEA7N2F40I3LG
- CategoryEmbedded - FPGAs (Field Programmable Gate Array)
- ManufacturerAltera
- DescriptionIC FPGA 600 I/O 1517FBGA
- PackageTray
- SeriesStratix® V GX
- Voltage - Supply0.82V ~ 0.88V
- Operating Temperature-40°C ~ 100°C (TJ)
- Mounting TypeSurface Mount
- Package / Case1517-BBGA, FCBGA
- Supplier Device Package1517-FBGA (40x40)
- Number of I/O600
- Number of Gates-
- Number of LABs/CLBs234720
- Number of Logic Elements/Cells622000
- Total RAM Bits51200000
Application of 5SGXEA7N2F40I3LG
5SGXEA7N2F40I3LG Datasheet
5SGXEA7N2F40I3LG Datasheet , Tray,Stratix® V GX,0.82V ~ 0.88V,-40°C ~ 100°C (TJ),Surface Mount,1517-BBGA, FCBGA,1517-FBGA (40x40),600,234720,622000,51200000
5SGXEA7N2F40I3LG Classification
Embedded - FPGAs (Field Programmable Gate Array)
FAQ about Embedded - FPGAs (Field Programmable Gate Array)
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1. What is the hardware of FPGA?
FPGA (Field-Programmable Gate Array) is a hardware device, not software. FPGA is a programmable hardware device consisting of a large number of logic units, storage units and interconnection resources, which can realize complex digital circuits and system designs.
The hardware structure of FPGA mainly includes the following parts:
Logic unit: FPGA contains programmable logic blocks that can perform logical and arithmetic operations.
Interconnection resources: These resources act as connections between logic blocks, allowing data to be transferred between different logic blocks.
Memory unit: Used to store configuration information and temporary data, supporting FPGA operations and logic processing.
The characteristics and application scenarios of FPGA include:
Programmability: FPGA can change the structure of its internal circuits by loading configuration information to achieve different functions.
High-speed execution: FPGA performs logic operations at the hardware level, which is usually several orders of magnitude faster than software execution.
Wide application: FPGA is widely used in many fields such as communications, medical, automotive, aerospace, industrial automation, etc. to implement complex digital circuits and algorithms, improve equipment performance, reduce power consumption or achieve specific functional requirements. -
2. Is FPGA a microprocessor?
FPGA is not a microprocessor. FPGA (Field-Programmable Gate Array) is a special digital circuit that is mainly used to implement complex logic functions, while microprocessors are processors used to execute instructions.
FPGA and microprocessors have significant differences in function and use. FPGA is a semi-custom digital circuit that can be programmed during the hardware design stage to implement specific logic functions. FPGA solves the shortcomings of customized circuits and overcomes the shortcomings of the limited number of gate circuits of the original programmable devices. It is suitable for occasions that require highly customized logic functions. In contrast, a microprocessor (such as a CPU) is a general-purpose computing device used to execute instructions stored in it, process data, and perform computing tasks. Microprocessors include MCU (microcontroller), DSP (digital signal processor), etc., each of which has different application scenarios and functional characteristics.
Specifically, FPGA and microprocessor are also different in structure and working mode. FPGA consists of a large number of programmable logic units, and users can program to implement any logic function as needed. Microprocessors contain a central processing unit (CPU), memory, and input and output interfaces to execute predefined instruction sets, process data, and perform computing tasks. In addition, FPGAs are usually used in situations that require high-speed processing and parallel computing, such as communications, image processing, etc., while microprocessors are widely used in various computing devices and systems. -
3. Is FPGA good for AI ?
FPGAs are good for AI. FPGAs offer a variety of advantages in the field of AI, including high performance, low latency, cost-effectiveness, energy efficiency and flexibility.
The main advantages of FPGAs in the field of AI include:
High performance and low latency: FPGAs offer low latency as well as deterministic latency, which is critical for many applications with strict deadlines, such as real-time applications such as speech recognition, video streaming and action recognition.
Cost-effectiveness: FPGAs can be reprogrammed for different data types and functions after manufacturing, which creates value compared to replacing applications with new hardware. By integrating additional functions onto the same chip, designers can reduce costs and save board space.
Energy efficiency: FPGAs enable designers to fine-tune hardware according to application requirements, using techniques such as INT8 quantization to reduce memory and computing requirements, thereby reducing energy consumption.
Flexibility and customization: FPGA can be optimized at the hardware level for specific algorithms, reducing unnecessary computing and storage overhead. For example, AMD's Alveo V80 accelerator card uses Versal FPGA adaptive SoC and HBM technology to provide efficient computing power.
In summary, FPGA has significant advantages in the field of AI, including high performance, low latency, cost-effectiveness, energy efficiency and flexibility, making it an ideal solution in AI applications.
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