EP1M120F484C6
EP1M120F484C6
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rohs
Intel

EP1M120F484C6


EP1M120F484C6
F18-EP1M120F484C6
Active
IC FPGA 303 I/O 484FBGA
484-FBGA (23x23)

EP1M120F484C6 ECAD Model


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EP1M120F484C6 Attributes


Type Description Select
Mfr Intel
Series Mercury
Package Tray
Number of LABs/CLBs 480
Number of Logic Elements/Cells 4800
Total RAM Bits 49152
Number of I/O 303
Number of Gates 120000
Voltage - Supply 1.71V ~ 1.89V
Mounting Type Surface Mount
Operating Temperature 0°C ~ 85°C (TJ)
Package / Case 484-BBGA, FCBGA
Supplier Device Package 484-FBGA (23x23)
Base Product Number EP1M120

EP1M120F484C6 Datasheet Download


EP1M120F484C6 Overview



The chip model EP1M120F484C6 is a high-performance digital signal processor (DSP) developed by a well-known semiconductor company. It is suitable for high-performance digital signal processing, embedded processing, image processing, and other related applications. It requires the use of HDL language to realize its functions.


The original design intention of the chip model EP1M120F484C6 is to provide customers with a cost-effective solution for their digital signal processing needs. It is designed with a high level of scalability and flexibility, allowing for future upgrades and expansions. This makes it suitable for use in advanced communication systems, such as those used in 5G networks.


The chip model EP1M120F484C6 is also suitable for the development and popularization of future intelligent robots. Its powerful processing capabilities and flexible design make it well suited for the complex tasks that robots require. To use the chip model EP1M120F484C6 effectively, technical talents with strong knowledge of HDL language and digital signal processing are needed.


In conclusion, the chip model EP1M120F484C6 is a reliable and cost-effective solution for high-performance digital signal processing, embedded processing, image processing, and other related applications. Its scalability and flexibility make it suitable for use in advanced communication systems and the development of intelligent robots. To use the model effectively, technical talents with strong knowledge of HDL language and digital signal processing are needed.



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