EPM7256BQI208-10N
EPM7256BQI208-10N
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rohs

Altera Corporation

EPM7256BQI208-10N


EPM7256BQI208-10N
F53-EPM7256BQI208-10N
Active
EE PLD, 10 ns, 256-Cell, CMOS, QFP, QFP208,1.2SQ,20
QFP, QFP208,1.2SQ,20

EPM7256BQI208-10N ECAD Model


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EPM7256BQI208-10N Attributes


Type Description Select
Pbfree Code Yes
Rohs Code Yes
Part Life Cycle Code Transferred
Propagation Delay 10 ns
Number of Macro Cells 256
Programmable Logic Type EE PLD
Package Shape SQUARE
Technology CMOS
Additional Feature YES
In-System Programmable YES
JTAG BST YES
Power Supplies 1.8/3.3,2.5 V
JESD-30 Code S-PQFP-G208
Qualification Status Not Qualified
JESD-609 Code e3
Number of Terminals 208
Package Body Material PLASTIC/EPOXY
Package Code QFP
Package Equivalence Code QFP208,1.2SQ,20
Package Shape SQUARE
Package Style FLATPACK
Surface Mount YES
Terminal Finish MATTE TIN
Terminal Form GULL WING
Terminal Pitch 500 µm
Terminal Position QUAD
Ihs Manufacturer ALTERA CORP
Package Description QFP, QFP208,1.2SQ,20
Reach Compliance Code compliant
HTS Code 8542.39.00.01

EPM7256BQI208-10N Datasheet Download


EPM7256BQI208-10N Overview



The EPM7256BQI208-10N is a chip model that is designed to provide a wide range of advantages to its users. It is a low-power and high-performance device that is capable of providing an exceptional level of performance in a wide range of applications. The device is designed to be extremely compatible with a wide range of systems, making it a great choice for a wide range of applications.


The EPM7256BQI208-10N is capable of providing a high level of flexibility and scalability for its users. This makes it an ideal choice for a wide range of applications, from embedded systems to large-scale networks. It is also capable of providing a high level of performance and reliability, making it a great choice for applications where reliability is a must.


The demand for the EPM7256BQI208-10N is expected to increase in the near future as more applications begin to require its capabilities. It is expected to be used in a wide range of applications, including internet of things (IoT) devices, industrial systems, and embedded systems. It is expected to be used in a wide range of network applications, including wireless networks, cellular networks, and satellite networks.


The EPM7256BQI208-10N is also expected to be used in a wide range of intelligent scenarios in the future. It is expected to be used in a wide range of applications, from self-driving cars to smart homes. It is also expected to be used in a wide range of industrial applications, such as automated factories and industrial robots. It is also expected to be used in a wide range of medical applications, such as medical imaging and medical robotics.


The EPM7256BQI208-10N is also expected to be used in the development and popularization of future intelligent robots. It is expected to be used in a wide range of applications, such as autonomous robots and service robots. It is also expected to be used in a wide range of applications, such as autonomous vehicles and unmanned aerial vehicles (UAVs).


In order to effectively use the EPM7256BQI208-10N, a wide range of technical talents are needed. These include engineers, software developers, and data scientists. Engineers are needed to design and build the chip, while software developers are needed to create the software that will be used to control the chip. Data scientists are needed to analyze the data that the chip collects and to make sense of it. All of these technical talents are necessary to ensure that the chip is used to its fullest potential.


In conclusion, the EPM7256BQI208-10N is a chip model that is designed to provide a wide range of advantages to its users. It is expected to be used in a wide range of applications, from embedded systems to large-scale networks. It is also expected to be used in a wide range of intelligent scenarios in the future, and is expected to be used in the development and popularization of future intelligent robots. In order to effectively use the EPM7256BQI208-10N, a wide range of technical talents are needed, including engineers, software developers, and data scientists.



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