Lattice Semiconductor Corporation LCMXO3LF-9400C-6BG484C
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- LCMXO3LF-9400C-6BG484C
- Lattice Semiconductor Corporation
- IC FPGA 384 I/O 484CABGA
- Embedded - FPGAs (Field Programmable Gate Array)
- LCMXO3LF-9400C-6BG484C Datasheet
- 484-LFBGA
- Tray
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Lead free / RoHS Compliant - 4844
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- 1 year quality assurance 》
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What is LCMXO3LF-9400C-6BG484C
Lattice Semiconductor Corporation Part Number LCMXO3LF-9400C-6BG484C（Embedded - FPGAs (Field Programmable Gate Array)）, developed and manufactured by Lattice Semiconductor Corporation, 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.
LCMXO3LF-9400C-6BG484C 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.
LCMXO3LF-9400C-6BG484C Specifications
- Part NumberLCMXO3LF-9400C-6BG484C
- CategoryEmbedded - FPGAs (Field Programmable Gate Array)
- ManufacturerLattice Semiconductor Corporation
- DescriptionIC FPGA 384 I/O 484CABGA
- PackageTray
- SeriesMachXO3
- Voltage - Supply2.375V ~ 3.465V
- Operating Temperature0°C ~ 85°C (TJ)
- Mounting TypeSurface Mount
- Package / Case484-LFBGA
- Supplier Device Package484-CABGA (19x19)
- Number of I/O384
- Number of Gates-
- Number of LABs/CLBs1175
- Number of Logic Elements/Cells9400
- Total RAM Bits442368
Application of LCMXO3LF-9400C-6BG484C
LCMXO3LF-9400C-6BG484C Datasheet
LCMXO3LF-9400C-6BG484C Datasheet , Tray,MachXO3,2.375V ~ 3.465V,0°C ~ 85°C (TJ),Surface Mount,484-LFBGA,484-CABGA (19x19),384,1175,9400,442368
LCMXO3LF-9400C-6BG484C 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. Is FPGA analog or digital?
FPGAs are digital. FPGAs (field programmable gate arrays) are integrated chips that are mainly digital circuits, not analog. FPGAs are a type of programmable logic device that processes digital signals instead of analog signals.
FPGAs are a type of programmable logic device, a type of programmable logic device (PLD). It solves the shortcomings of traditional custom circuits, while also overcoming the shortcomings of the limited number of gate circuits in the original programmable devices. FPGA is a product that is further developed on the basis of traditional logic circuits and gate arrays such as PAL (Programmable Logic Array), GAL (General Array Logic), and CPLD (Complex Programmable Logic Device).
The design process of FPGA includes the use of computer-aided design, by drawing schematic diagrams that implement user requirements, editing Boolean equations, or using hardware description languages as design inputs. Then after a series of conversion programs, automatic layout and routing, and simulation processes, the FPGA data file is finally generated to initialize the FPGA device. -
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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