EP1SGX25FF1020C7N

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Mfr.Part #
EP1SGX25FF1020C7N
Manufacturer
Altera (Intel)
Package / Case
1020-BBGA
Datasheet
Download
Description
IC FPGA 607 I/O 1020FBGA
Stock
12,777
In Stock :
12,777

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Manufacturer :
Altera (Intel)
Product Category :
FPGAs (Field Programmable Gate Array)
Length :
33mm
Terminal Form :
Ball
Supply Voltage :
1.5V
Peak Reflow Temperature (Cel) :
245
Number of LABs/CLBs :
2566
Terminal Position :
BOTTOM
Number of Outputs :
607
RoHS Status :
RoHS Compliant
HTS Code :
8542.39.00.01
Number of I/O :
607
Series :
Stratix® GX
Base Part Number :
EP1SGX25
Moisture Sensitivity Level (MSL) :
3 (168 Hours)
Terminal Pitch :
1mm
Voltage - Supply :
1.425V~1.575V
Number of Logic Elements/Cells :
25660
Time@Peak Reflow Temperature-Max (s) :
40
Operating Temperature :
0°C~85°C TJ
Width :
33mm
Package / Case :
1020-BBGA
Reach Compliance Code :
Compliant
Qualification Status :
Not Qualified
Organization :
2852 CLBS
Power Supplies :
1.51.5/3.3V
Packaging :
Tray
Surface Mount :
yes
Terminal Finish :
Tin/Silver/Copper (Sn/Ag/Cu)
JESD-30 Code :
S-PBGA-B1020
Number of Inputs :
607
Mounting Type :
Surface Mount
Total RAM Bits :
1944576
JESD-609 Code :
e1
Programmable Logic Type :
FIELD PROGRAMMABLE GATE ARRAY
Number of CLBs :
2852
Height Seated (Max) :
3.5mm
ECCN Code :
3A001.A.7.A
Datasheets
EP1SGX25FF1020C7N
Introducing FPGAs (Field Programmable Gate Array) Altera (Intel) EP1SGX25FF1020C7N from Chip IC,where excellence meets affordability. This product stands out with its Base Part Number:EP1SGX25, Operating Temperature:0°C~85°C TJ, Package / Case:1020-BBGA, Mounting Type:Surface Mount, EP1SGX25FF1020C7N pinout, EP1SGX25FF1020C7N datasheet PDF, EP1SGX25FF1020C7N amp .Beyond FPGAs (Field Programmable Gate Array) Altera (Intel) EP1SGX25FF1020C7N ,we also offer T35F400C3, T55F324C3, T120F324C3, Our vast inventory has you covered. Contact us now for immediate solutions.

Altera (Intel) EP1SGX25FF1020C7N


FPGAs Altera (Intel) EP1SGX25FF1020C7N Overview

The FPGAs Altera (Intel) EP1SGX25FF1020C7N is a high-performance, field-programmable gate array designed for demanding applications that require a blend of high-speed logic processing and substantial I/O capabilities. Manufactured by Altera (now part of Intel), this IC is encapsulated in a 1020FBGA package and boasts an impressive array of 607 I/O pins, making it highly versatile for complex digital environments. Its advanced feature set enables users to optimize logic density, signal integrity, and system reliability in a cost-effective, power-efficient manner. This makes the EP1SGX25FF1020C7N an excellent choice for designers aiming to create scalable and flexible system architectures in a compact footprint.

EP1SGX25FF1020C7N Features

The EP1SGX25FF1020C7N FPGA stands out with its robust configuration options, extensive I/O capabilities, and Intel's proven technology backing. Key features include a high-density programmable logic, embedded memory blocks for efficient data handling, and dedicated DSP blocks for high-speed numerical processing. These attributes make it suitable for high-throughput applications, providing substantial performance without the expense of increased power consumption.

EP1SGX25FF1020C7N Applications

  • Telecommunications: Used in routers and switches for packet processing, signal integrity management, and data flow control, enhancing the efficiency and speed of telecommunication networks.
  • Automotive: Integrated into driver assistance systems to process multiple real-time inputs from sensors, aiding in faster decision-making and enhanced vehicle safety.
  • Industrial Automation: Employs in control systems for real-time processing and management of complex operations in manufacturing processes, increasing automation reliability and precision.
  • Medical Imaging: Applied in diagnostic equipment such as MRI and CT scanners for fast image processing, ensuring high-resolution outputs in real-time medical diagnostics.
  • Data Centers: Utilized in data storage systems for managing high-speed data transfers and server load balancing, optimizing data throughput and storage efficiency in large scale data centers.
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