XC2V1000-4FG256I

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Mfr.Part #
XC2V1000-4FG256I
Manufacturer
AMD Xilinx
Package / Case
256-BGA
Datasheet
Download
Description
IC FPGA 172 I/O 256FBGA
Stock
25,535
In Stock :
25,535

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Manufacturer :
AMD Xilinx
Product Category :
FPGAs (Field Programmable Gate Array)
Number of I/O :
172
Number of Outputs :
172
Terminal Pitch :
1mm
RAM Size :
90kB
Voltage - Supply :
1.425V~1.575V
Supply Voltage :
1.5V
Series :
Virtex®-II
Terminal Form :
Ball
Mount :
Surface Mount
Total RAM Bits :
737280
Speed Grade :
4
Width :
17mm
Clock Frequency :
650MHz
Programmable Logic Type :
FIELD PROGRAMMABLE GATE ARRAY
Published :
2001
Operating Temperature :
-40°C~100°C TJ
Height Seated (Max) :
2mm
RoHS Status :
Non-RoHS Compliant
Peak Reflow Temperature (Cel) :
225
Power Supplies :
1.51.5/3.33.3V
Time@Peak Reflow Temperature-Max (s) :
30
Number of Gates :
1000000
Operating Supply Voltage :
1.5V
ECCN Code :
EAR99
Length :
17mm
Number of Pins :
256
Number of Terminations :
256
Base Part Number :
XC2V1000
Mounting Type :
Surface Mount
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Number of Logic Cells :
11520
Pbfree Code :
No
Pin Count :
256
JESD-609 Code :
e0
Package / Case :
256-BGA
Number of Registers :
10240
Packaging :
Tray
Radiation Hardening :
No
Terminal Finish :
Tin/Lead (Sn63Pb37)
Terminal Position :
BOTTOM
Number of LABs/CLBs :
1280
Datasheets
XC2V1000-4FG256I
Introducing FPGAs (Field Programmable Gate Array) AMD Xilinx XC2V1000-4FG256I from Chip IC,where excellence meets affordability. This product stands out with its Operating Temperature:-40°C~100°C TJ, Number of Pins:256, Number of Terminations:256, Base Part Number:XC2V1000, Mounting Type:Surface Mount, Package / Case:256-BGA, XC2V1000-4FG256I pinout, XC2V1000-4FG256I datasheet PDF, XC2V1000-4FG256I amp .Beyond FPGAs (Field Programmable Gate Array) AMD Xilinx XC2V1000-4FG256I ,we also offer T35F400C3, T55F324C3, T120F324C3, Our vast inventory has you covered. Contact us now for immediate solutions.

AMD Xilinx XC2V1000-4FG256I


FPGAs AMD Xilinx XC2V1000-4FG256I Overview

The FPGAs AMD Xilinx XC2V1000-4FG256I is a highly versatile, field-programmable gate array designed to meet the extensive needs of modern digital circuits. This FPGA from AMD Xilinx is tailored for robust performance and flexible design capabilities. Ideal for applications requiring high-speed data processing and high-volume data management, this product features a large array of logic cells and substantial I/O capabilities, encapsulated in a compact 256FBGA package. Its integrated architecture supports a wide range of applications, from complex digital signal processing to high-speed communication protocols, making it a preferred choice for designers looking for a scalable and powerful FPGA solution.

XC2V1000-4FG256I Features

The XC2V1000-4FG256I FPGA offers a rich set of features including 172 I/O pins that provide ample connection points for multiple peripherals, supporting complex, multi-layered designs. The FPGA operates efficiently with a robust design suited for intensive operations, all while maintaining power efficiency and high reliability under varying environmental conditions. Its configuration in a 256-pin fine-pitch ball grid array (FBGA) package allows for excellent heat dissipation and reduced footprint on the PCB.

XC2V1000-4FG256I Applications

  • Communications Infrastructure: Utilizes its high-speed I/O and large logic capacity to manage data flows in routers and switches, enhancing network reliability and throughput.
  • Industrial Automation: In automated manufacturing lines, the XC2V1000-4FG256I processes multiple sensor inputs and controls actuators in real-time, optimizing production efficiency and safety.
  • Automotive Technology: Supports advanced driver-assistance systems (ADAS) by processing inputs from multiple vehicle sensors, contributing to safer driving dynamics.
  • Consumer Electronics: Powers sophisticated consumer devices, including smart TVs and gaming consoles, where high data processing capability is crucial for user experience.
  • Medical Devices: Facilitates the processing and analysis of complex datasets in medical imaging systems, helping in faster and more accurate diagnostics.
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