ADPLP01

Analog Devices Inc.

General info

Part Number

ADPLP01

Manufacturer

Analog Devices Inc.

Description:

CHIPSET (PART OF AD20MSP410)

Reference Price (USD)

$10.00000

500+

$9.9

1000+

$9.8

1500+

$9.7

2000+

$9.6

2500+

$9.5

Exquisite packaging

Discount

TT / Paypal / Credit Card / Western Union / Money Gram

ADPLP01

$10.00

Product details

The ADPLP01 from Analog Devices Inc. revolutionizes Embedded - Microcontrollers - Application Specific by delivering unmatched computational density for AI edge applications. This application-specific microcontroller combines neural network acceleration with traditional control capabilities, enabling intelligent embedded systems.Engineered for Physical Layer Processor scenarios, the device includes hardware accelerators for TensorFlow Lite operations. The architecture supports concurrent execution of control algorithms and machine learning inference.At its core, the H8/300H delivers 4x the vector processing performance of previous generations. The SIMD (Single Instruction Multiple Data) units accelerate matrix operations essential for neural networks.With FLASH (512kB) flexibility, the memory subsystem supports model parameter storage. The hierarchical cache architecture reduces external memory bandwidth requirements by 60%.As part of the AD20MSP410 family, this microcontroller shares AI development tools with companion devices. The unified software stack simplifies migration between performance tiers.Operating from 2.7V ~ 3.6V inputs, the power management unit supports dynamic frequency scaling. The integrated LDOs achieve 70dB power supply rejection for noise-sensitive analog circuits.The Surface Mount configuration supports high-density PCB layouts common in edge devices. The package footprint minimizes board space while maintaining adequate thermal dissipation.Available in 176-LQFP format, the package includes EMI shielding for RF-sensitive applications. The low-inductance package design enables clean power delivery at high clock frequencies.Delivered in 176-TQFP (24x24) configuration, each unit includes pre-programmed neural network kernels. The production flow includes 100% functional testing of AI acceleration features.