XC4010E-3PQ208C
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- Mfr.Part #
- XC4010E-3PQ208C
- Manufacturer
- AMD Xilinx
- Package / Case
- 208-BFQFP
- Datasheet
- Download
- Description
- IC FPGA 160 I/O 208QFP
- Stock
- 1,386
- In Stock ：
- 1,386
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- Manufacturer :
- AMD Xilinx
- Product Category :
- FPGAs (Field Programmable Gate Array)
- JESD-609 Code :
- e0
- Supply Voltage :
- 5V
- Packaging :
- Tray
- Number of CLBs :
- 400
- Number of Terminations :
- 208
- Reach Compliance Code :
- Unknown
- Number of Gates :
- 10000
- Total RAM Bits :
- 12800
- Programmable Logic Type :
- FIELD PROGRAMMABLE GATE ARRAY
- Number of Logic Cells :
- 400
- Number of Equivalent Gates :
- 7000
- Published :
- 1999
- Number of Pins :
- 208
- Number of Outputs :
- 160
- Terminal Pitch :
- 0.5mm
- Terminal Form :
- Gull wing
- Moisture Sensitivity Level (MSL) :
- 3 (168 Hours)
- Package / Case :
- 208-BFQFP
- Length :
- 28mm
- Number of LABs/CLBs :
- 400
- Number of Logic Elements/Cells :
- 950
- Combinatorial Delay of a CLB-Max :
- 2 ns
- Peak Reflow Temperature (Cel) :
- 225
- Qualification Status :
- Not Qualified
- Voltage - Supply :
- 4.75V~5.25V
- RoHS Status :
- Non-RoHS Compliant
- Mount :
- Surface Mount
- Number of I/O :
- 160
- Operating Temperature :
- 0°C~85°C TJ
- Power Supplies :
- 5V
- Terminal Finish :
- Tin/Lead (Sn85Pb15)
- Base Part Number :
- XC4010E
- Pin Count :
- 208
- Width :
- 28mm
- Mounting Type :
- Surface Mount
- Terminal Position :
- QUAD
- HTS Code :
- 8542.39.00.01
- Time@Peak Reflow Temperature-Max (s) :
- 30
- Lead Free :
- Contains Lead
- RAM Size :
- 1.6kb
- Pbfree Code :
- No
- Series :
- XC4000E/X
- Height Seated (Max) :
- 4.1mm
- Clock Frequency :
- 125MHz
- Datasheets
- XC4010E-3PQ208C
FPGAs AMD Xilinx XC4010E-3PQ208C Overview
The FPGAs AMD Xilinx XC4010E-3PQ208C is a highly versatile and powerful integrated circuit designed by AMD Xilinx, specifically tailored for advanced digital processing tasks. This component is built on a robust FPGA platform, enabling users to perform complex computations and logic operations with high efficiency and flexibility. Ideal for designers and engineers looking to push the boundaries of technology, the XC4010E-3PQ208C integrates seamlessly into various applications, providing a reliable foundation for developing innovative electronic products. Its compact 208QFP package allows for a dense integration in hardware environments where space is at a premium, making it an excellent choice for sophisticated, high-performance projects.
XC4010E-3PQ208C Features
The XC4010E-3PQ208C FPGA offers a comprehensive set of features that cater to a wide array of needs in the electronics domain. This includes 160 programmable I/O pins, which provide ample flexibility for interfacing with a multitude of external devices. The 3ns gate array delay ensures rapid processing of instructions, which is critical for applications requiring high-speed data processing. The FPGA is designed for optimal power efficiency, which minimizes power consumption while maintaining superior performance. Additionally, its 208-pin Quad Flat Pack (QFP) format ensures it can be integrated into a variety of board layouts with relative ease.
XC4010E-3PQ208C Applications
- Telecommunications Equipment: The XC4010E-3PQ208C can be utilized to handle signal processing tasks and data flow management in routers and switches, enhancing network efficiency and bandwidth management.
- Automotive Systems: In automotive applications, this FPGA serves as a critical component in driver assistance systems, managing sensor inputs and actuator outputs to improve vehicle safety and performance.
- Consumer Electronics: Used in devices such as high-definition televisions and gaming consoles, the XC4010E-3PQ208C helps manage video processing tasks to deliver enhanced graphics performance.
- Industrial Automation: This FPGA is ideal for controlling machinery in automated production lines, where precise timing and robust processing capabilities are needed to optimize manufacturing processes.
- Medical Devices: In medical diagnostics equipment, the XC4010E-3PQ208C processes complex algorithms for imaging and data analysis, supporting advancements in healthcare technology.
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