Altera 5SGXMA7N2F40C2G
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- 5SGXMA7N2F40C2G
- Altera
- IC FPGA 600 I/O 1517FBGA
- Embedded - FPGAs (Field Programmable Gate Array)
- 5SGXMA7N2F40C2G Datasheet
- 1517-BBGA, FCBGA
- Tray
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Lead free / RoHS Compliant - 4628
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What is 5SGXMA7N2F40C2G
Altera Part Number 5SGXMA7N2F40C2G（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.
5SGXMA7N2F40C2G 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.
5SGXMA7N2F40C2G Specifications
- Part Number5SGXMA7N2F40C2G
- CategoryEmbedded - FPGAs (Field Programmable Gate Array)
- ManufacturerAltera
- DescriptionIC FPGA 600 I/O 1517FBGA
- PackageTray
- SeriesStratix® V GX
- Voltage - Supply0.87V ~ 0.93V
- Operating Temperature0°C ~ 85°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 5SGXMA7N2F40C2G
5SGXMA7N2F40C2G Datasheet
5SGXMA7N2F40C2G Datasheet , Tray,Stratix® V GX,0.87V ~ 0.93V,0°C ~ 85°C (TJ),Surface Mount,1517-BBGA, FCBGA,1517-FBGA (40x40),600,234720,622000,51200000
5SGXMA7N2F40C2G 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 faster than CPU?
FPGAs are faster than CPUs in some cases. FPGAs are programmable hardware devices whose internal architecture can be configured by users as needed, which enables them to process multiple computing tasks in parallel, resulting in higher computing performance in some scenarios.
FPGAs and CPUs have different architectures and design goals. CPUs are general-purpose processors that can perform a variety of tasks, but may require multiple clock cycles to process specific operations. FPGAs, on the other hand, achieve specific computing structures by reorganizing circuits, and have higher parallelism and efficiency. For example, when processing specific tasks such as signals and images, FPGAs can complete them faster than CPUs.
The main advantage of FPGAs is their programmability and flexibility. FPGAs can be reprogrammed and reconfigured as needed, which enables designers to quickly test new and updated algorithms without developing and releasing new hardware, thereby speeding up time to market and saving costs. In addition, FPGAs offer the advantages of superior performance and reduced latency, and are suitable for real-time applications that require low latency and deterministic latency. -
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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