EP2AGX65CU17C4

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Mfr.Part #
EP2AGX65CU17C4
Manufacturer
Altera (Intel)
Package / Case
358-LFBGA, FCBGA
Datasheet
Download
Description
IC FPGA 156 I/O 358UBGA
Stock
35,312
In Stock :
35,312

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Manufacturer :
Altera (Intel)
Product Category :
FPGAs (Field Programmable Gate Array)
Total RAM Bits :
5371904
Terminal Form :
Ball
Operating Temperature :
0°C~85°C TJ
Terminal Position :
BOTTOM
Peak Reflow Temperature (Cel) :
NOT SPECIFIED
Number of Outputs :
156
Terminal Finish :
TIN LEAD
Package / Case :
358-LFBGA, FCBGA
Number of Inputs :
156
Time@Peak Reflow Temperature-Max (s) :
NOT SPECIFIED
Qualification Status :
Not Qualified
JESD-30 Code :
S-PBGA-B358
Mounting Type :
Surface Mount
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Surface Mount :
yes
Power Supplies :
0.91.2/3.31.52.5V
Voltage - Supply :
0.87V~0.93V
Terminal Pitch :
0.8mm
Series :
Arria II GX
ECCN Code :
3A991
Number of Terminations :
358
HTS Code :
8542.39.00.01
JESD-609 Code :
e0
Base Part Number :
EP2AGX65
Programmable Logic Type :
FIELD PROGRAMMABLE GATE ARRAY
Number of Logic Elements/Cells :
60214
Packaging :
Tray
Number of I/O :
156
RoHS Status :
Non-RoHS Compliant
Number of LABs/CLBs :
2530
Datasheets
EP2AGX65CU17C4
Introducing FPGAs (Field Programmable Gate Array) Altera (Intel) EP2AGX65CU17C4 from Chip IC,where excellence meets affordability. This product stands out with its Operating Temperature:0°C~85°C TJ, Package / Case:358-LFBGA, FCBGA, Mounting Type:Surface Mount, Number of Terminations:358, Base Part Number:EP2AGX65, EP2AGX65CU17C4 pinout, EP2AGX65CU17C4 datasheet PDF, EP2AGX65CU17C4 amp .Beyond FPGAs (Field Programmable Gate Array) Altera (Intel) EP2AGX65CU17C4 ,we also offer T35F400C3, T55F324C3, T120F324C3, Our vast inventory has you covered. Contact us now for immediate solutions.

Altera (Intel) EP2AGX65CU17C4


FPGAs (Field Programmable Gate Array) Altera (Intel) EP2AGX65CU17C4 Overview

Introducing the robust and versatile EP2AGX65CU17C4 from Altera (Intel), a leading-edge Field Programmable Gate Array (FPGA) designed for advanced digital circuit development. This FPGA stands out in the market with its substantial logic elements and adaptive functionality, catering to the complex and dynamic demands of modern technology systems. The EP2AGX65CU17C4 enables designers to achieve high levels of system integration with lower costs and reduced power consumption, making it a preferred choice for innovative projects requiring flexible, high-speed digital processing. This product is crafted to facilitate efficient development cycles and accelerate time-to-market, proving essential for competitive and rapidly evolving industries.

EP2AGX65CU17C4 Features

The EP2AGX65CU17C4 FPGA boasts a range of features that make it a powerhouse for technology development, including 156 I/O pins and a compact 358-pin UBGA package that ensures a minimal footprint on system boards. Its reconfigurability allows for multiple applications with a single chip, significantly reducing development costs and simplifying hardware management. Furthermore, this chip supports various logic synthesis tools, making it adaptable to numerous high-speed digital applications and facilitating ease of integration.

EP2AGX65CU17C4 Applications

  • Telecommunications Equipment: Utilized in routers and switches, the EP2AGX65CU17C4 manages high-speed data transmission and complex logic operations, enhancing network efficiency and reliability.
  • Automotive Systems: Supports advanced driver-assistance systems (ADAS) by processing real-time sensor data, contributing to safer driving experiences through enhanced computational capabilities.
  • Consumer Electronics: Integral in the development of smart home devices, where it controls various functionalities seamlessly, improving user interaction and device interoperability.
  • Industrial Automation: Used in control systems, the FPGA handles multiple input and output operations, offering robust performance and flexibility in custom industrial applications.
  • Medical Devices: Plays a crucial role in medical imaging systems, enabling fast and efficient processing of complex algorithms essential for high-resolution imaging and diagnostics.
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