EP1AGX50CF484C6N

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Mfr.Part #
EP1AGX50CF484C6N
Manufacturer
Altera (Intel)
Package / Case
484-BBGA
Datasheet
Download
Description
IC FPGA 229 I/O 484FBGA
Stock
40,408
In Stock :
40,408

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Manufacturer :
Altera (Intel)
Product Category :
FPGAs (Field Programmable Gate Array)
Package / Case :
484-BBGA
Peak Reflow Temperature (Cel) :
NOT SPECIFIED
Operating Temperature :
0°C~85°C TJ
JESD-30 Code :
S-PBGA-B484
ECCN Code :
3A001.A.7.A
Terminal Pitch :
1mm
Number of LABs/CLBs :
2508
Number of Outputs :
229
Terminal Form :
Ball
Number of I/O :
229
Terminal Finish :
Tin/Silver/Copper (Sn/Ag/Cu)
Qualification Status :
Not Qualified
Width :
23mm
Number of Logic Elements/Cells :
50160
Number of Inputs :
229
JESD-609 Code :
e1
Mounting Type :
Surface Mount
Total RAM Bits :
2475072
Series :
Arria GX
Terminal Position :
BOTTOM
Voltage - Supply :
1.15V~1.25V
Length :
23mm
Number of Terminations :
484
Factory Lead Time :
8 Weeks
RoHS Status :
RoHS Compliant
Surface Mount :
yes
Clock Frequency :
640MHz
Programmable Logic Type :
FIELD PROGRAMMABLE GATE ARRAY
Power Supplies :
1.22.5/3.3V
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Supply Voltage :
1.2V
Time@Peak Reflow Temperature-Max (s) :
NOT SPECIFIED
Base Part Number :
EP1AGX50
HTS Code :
8542.39.00.01
Height Seated (Max) :
3.5mm
Packaging :
Tray
Datasheets
EP1AGX50CF484C6N
Introducing FPGAs (Field Programmable Gate Array) Altera (Intel) EP1AGX50CF484C6N from Chip IC,where excellence meets affordability. This product stands out with its Package / Case:484-BBGA, Operating Temperature:0°C~85°C TJ, Mounting Type:Surface Mount, Number of Terminations:484, Base Part Number:EP1AGX50, EP1AGX50CF484C6N pinout, EP1AGX50CF484C6N datasheet PDF, EP1AGX50CF484C6N amp .Beyond FPGAs (Field Programmable Gate Array) Altera (Intel) EP1AGX50CF484C6N ,we also offer T35F400C3, T55F324C3, T120F324C3, Our vast inventory has you covered. Contact us now for immediate solutions.

Altera (Intel) EP1AGX50CF484C6N


FPGAs Altera (Intel) EP1AGX50CF484C6N Overview

The EP1AGX50CF484C6N, a cutting-edge FPGA from Altera (Intel), stands out in the field of programmable logic solutions. This component is engineered to cater to the demanding needs of modern digital applications, providing a flexible and efficient platform for hardware acceleration. The IC FPGA 229 I/O 484FBGA is tailored for high-performance environments, ensuring that developers have the right tools to innovate and optimize. The integration of a large number of I/O options within a compact 484-pin FBGA package allows for versatile and dense circuit designs, making the FPGAs Altera (Intel) EP1AGX50CF484C6N an ideal choice for sophisticated electronic assemblies.

EP1AGX50CF484C6N Features

This FPGA model boasts a robust set of features including a high I/O pin count, which facilitates extensive connectivity and versatility in system design. The device's programmable logic allows for rapid prototyping and modifications, ensuring a reduced time-to-market for complex projects. The 484FBGA package provides a balance of compact form factor and ample pin accessibility, suitable for dense board layouts and advanced digital circuits. Furthermore, its compatibility with Altera's advanced software tools enhances its usability in a wide range of applications, from computing to industrial systems.

EP1AGX50CF484C6N Applications

  • Telecommunications: Used in routers and switches, the FPGA facilitates high-speed data processing and bandwidth management essential for modern telecommunication infrastructures.
  • Automotive: Employs in driver assistance systems to process real-time sensor data, enhancing vehicle safety and performance.
  • Industrial Automation: Integrates into control systems for real-time processing capabilities in manufacturing processes, improving efficiency and precision.
  • Consumer Electronics: Utilized in high-definition multimedia interfaces and digital displays, offering superior processing power to handle complex graphics and user interfaces.
  • Medical Devices: Applied in imaging systems like ultrasound and MRI, supporting the complex computations needed for detailed visual data representation.
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