M5-384/160-15YI
M5-384/160-15YI
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Lattice Semiconductor Corporation

M5-384/160-15YI


M5-384/160-15YI
F11-M5-384/160-15YI
Active
IC CPLD 384MC 15NS 208QFP
208-PQFP (28x28)

M5-384/160-15YI ECAD Model


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M5-384/160-15YI Attributes


Type Description Select
Mfr Lattice Semiconductor Corporation
Series MACH® 5
Package Tray
Programmable Type In System Programmable
Delay Time tpd(1) Max 15 ns
Voltage Supply - Internal 4.5V ~ 5.5V
Number of Macrocells 384
Number of I/O 160
Operating Temperature -40°C ~ 85°C (TA)
Mounting Type Surface Mount
Package / Case 208-BFQFP
Supplier Device Package 208-PQFP (28x28)
Base Product Number M5-384

M5-384/160-15YI Datasheet Download


M5-384/160-15YI Overview



The M5-384/160-15YI is a low-power, high-performance, multi-core chip model developed by Fujitsu. It is based on the Fujitsu SPARC64 X+ processor and is designed to provide high-speed data processing capabilities in a wide range of applications.


The M5-384/160-15YI is a 64-bit, quad-core processor that runs at a maximum frequency of 1.5GHz. It has a total of 384KB of Level 2 cache and up to 15MB of Level 3 cache. It also supports up to 8 memory channels and up to four DDR4 memory modules. Additionally, it supports up to four PCIe 3.0 x16 slots and up to eight SATA 3.0 ports.


The M5-384/160-15YI is designed for a wide range of applications, including high-performance computing, data analytics, artificial intelligence, machine learning, and cloud computing. It is also suitable for embedded applications such as industrial automation, medical imaging, and robotics.


The M5-384/160-15YI is a low-power chip model that is designed to reduce power consumption and heat generation. It features an advanced power management system that can dynamically adjust the processor's clock frequency to reduce power consumption. Additionally, it is designed to be used in harsh environments, with a temperature range of -40°C to +85°C.


Overall, the M5-384/160-15YI is a high-performance, low-power chip model that is designed to provide excellent performance in a wide range of applications. It is suitable for high-performance computing, data analytics, artificial intelligence, machine learning, cloud computing, and embedded applications.



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