
AMD Xilinx
XQ4013XL-3PQ240N
XQ4013XL-3PQ240N ECAD Model
XQ4013XL-3PQ240N Attributes
Type | Description | Select |
---|---|---|
Rohs Code | No | |
Part Life Cycle Code | Obsolete | |
Supply Voltage-Nom | 3.3 V | |
Number of Inputs | 192 | |
Number of Outputs | 192 | |
Number of Logic Cells | 1368 | |
Number of Equivalent Gates | 10000 | |
Number of CLBs | 576 | |
Combinatorial Delay of a CLB-Max | 1.6 ns | |
Programmable Logic Type | FIELD PROGRAMMABLE GATE ARRAY | |
Screening Level | MIL-PRF-38535 | |
Temperature Grade | MILITARY | |
Package Shape | SQUARE | |
Technology | CMOS | |
Organization | 576 CLBS, 10000 GATES | |
Additional Feature | TYPICAL GATES = 10000 TO 30000 | |
Clock Frequency-Max | 166 MHz | |
Power Supplies | 3.3 V | |
Supply Voltage-Max | 3.6 V | |
Supply Voltage-Min | 3 V | |
JESD-30 Code | S-PQFP-G240 | |
Qualification Status | Not Qualified | |
JESD-609 Code | e0 | |
Moisture Sensitivity Level | 3 | |
Operating Temperature-Max | 125 °C | |
Operating Temperature-Min | -55 °C | |
Peak Reflow Temperature (Cel) | 225 | |
Time@Peak Reflow Temperature-Max (s) | 30 | |
Number of Terminals | 240 | |
Package Body Material | PLASTIC/EPOXY | |
Package Code | FQFP | |
Package Equivalence Code | QFP240,1.3SQ,20 | |
Package Shape | SQUARE | |
Package Style | FLATPACK, FINE PITCH | |
Surface Mount | YES | |
Terminal Finish | Tin/Lead (Sn85Pb15) | |
Terminal Form | GULL WING | |
Terminal Pitch | 500 µm | |
Terminal Position | QUAD | |
Width | 32 mm | |
Length | 32 mm | |
Seated Height-Max | 4.1 mm | |
Ihs Manufacturer | XILINX INC | |
Reach Compliance Code | unknown | |
HTS Code | 8542.39.00.01 | |
Part Package Code | QFP | |
Package Description | 32 X 32.50 MM, EIAJ, PLASTIC, MO-143GA, QFP-240 | |
Pin Count | 240 | |
ECCN Code | 3A001.A.2.C |
XQ4013XL-3PQ240N Datasheet Download
XQ4013XL-3PQ240N Overview
Chip model XQ4013XL-3PQ240N is a product of the semiconductor industry, and it is a product of the latest generation of technology. It is a new type of chip that integrates a variety of functions, including signal processing, signal transmission, signal recognition, and data storage. With its high performance, it has become the most popular chip in the industry.
The chip model XQ4013XL-3PQ240N is a perfect choice for the development of future intelligent systems. It is a powerful tool for the development of networks, intelligent systems, and robots. It can be used to create a variety of intelligent scenarios, such as the Internet of Things (IoT), machine learning, and autonomous driving. It can also be used to develop robots that can interact with humans, as well as robots that can perform complex tasks.
In addition, the chip model XQ4013XL-3PQ240N can also be used in the development and popularization of future intelligent robots. It can be used to develop robots that can interact with humans, as well as robots that can perform complex tasks. With its powerful processing capabilities, it can be used to create robots that can respond to a variety of inputs, such as voice, vision, and touch. It can also be used to develop robots that can recognize and react to their environment, as well as robots that can move and interact with objects.
In order to use the chip model XQ4013XL-3PQ240N effectively, it is necessary to have a good understanding of the technology and its applications. Technical talents with knowledge in artificial intelligence, robotics, and machine learning are needed to develop and use the model effectively. It is also necessary to have a good understanding of the application environment and the technologies needed to support it.
In conclusion, the chip model XQ4013XL-3PQ240N is a powerful tool for the development of networks, intelligent systems, and robots. It can be used to create a variety of intelligent scenarios and to develop robots that can interact with humans, as well as robots that can perform complex tasks. In order to use the chip model XQ4013XL-3PQ240N effectively, it is necessary to have a good understanding of the technology and its applications, as well as the application environment and the technologies needed to support it. Technical talents with knowledge in artificial intelligence, robotics, and machine learning are needed to develop and use the model effectively.
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Pricing (USD)
QTY | Unit Price | Ext Price |
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