Altera 5SGXMB5R3F43I3G
- 5SGXMB5R3F43I3G
- Altera
- IC FPGA 600 I/O 1760FBGA
- Embedded - FPGAs (Field Programmable Gate Array)
- 5SGXMB5R3F43I3G Datasheet
- 1760-BBGA, FCBGA
- Tray
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Lead free / RoHS Compliant - 29636
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What is 5SGXMB5R3F43I3G
Altera Part Number 5SGXMB5R3F43I3G(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.
5SGXMB5R3F43I3G 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.
5SGXMB5R3F43I3G Specifications
- Part Number5SGXMB5R3F43I3G
- CategoryEmbedded - FPGAs (Field Programmable Gate Array)
- ManufacturerAltera
- DescriptionIC FPGA 600 I/O 1760FBGA
- PackageTray
- SeriesStratix® V GX
- Voltage - Supply0.82V ~ 0.88V
- Operating Temperature-40°C ~ 100°C (TJ)
- Mounting TypeSurface Mount
- Package / Case1760-BBGA, FCBGA
- Supplier Device Package1760-FCBGA (42.5x42.5)
- Number of I/O600
- Number of Gates-
- Number of LABs/CLBs185000
- Number of Logic Elements/Cells490000
- Total RAM Bits41984000
Application of 5SGXMB5R3F43I3G
5SGXMB5R3F43I3G Datasheet
5SGXMB5R3F43I3G Datasheet , Tray,Stratix® V GX,0.82V ~ 0.88V,-40°C ~ 100°C (TJ),Surface Mount,1760-BBGA, FCBGA,1760-FCBGA (42.5x42.5),600,185000,490000,41984000
5SGXMB5R3F43I3G 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 highly flexible programmable logic chip that users can program to achieve specific logic functions according to their needs. The main uses of FPGA include communications and networks, digital signal processing, automotive and aerospace, industrial automation, high-performance computing, smart Internet of Things and many other aspects.
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2. What is FPGA in embedded systems?
FPGA in embedded system is a solution that integrates FPGA technology into embedded system. An embedded system is a computer system designed for a specific application, which usually includes components such as processor, memory, peripheral interface, etc., which are used to control, monitor or perform specific tasks. Combining FPGA with embedded system can bring a series of significant advantages.
FPGA (Field Programmable Gate Array) is a programmable logic device, which consists of a large number of programmable logic units and programmable interconnection resources. It has the characteristics of flexibility and reconfigurability, and is widely used in communication, digital signal processing, embedded systems and other fields. The basic structure of FPGA includes programmable input and output units, configurable logic blocks, digital clock management modules, embedded block RAM, wiring resources, embedded dedicated hard cores and bottom embedded functional units. The design of FPGA can be implemented through hardware description language, which has high flexibility. -
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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