Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
ZLK38AVS

ZLK38AVS

Microsemi

TIMBERWOLF DEVELOPMENT KIT FOR A

0

LX2202 EVAL

LX2202 EVAL

Microsemi

BOARD EVAL ENGINEERING PRE-PROD

0

MAX3673EVKIT+

MAX3673EVKIT+

Microsemi

KIT EVALUATION MAX MAX3673

0

LX2205 EVAL KIT

LX2205 EVAL KIT

Microsemi

LINEAR LITHIUM ION

0

MAX3612EVKIT+

MAX3612EVKIT+

Microsemi

KIT EVALUATION MAX3612

0

PD-IM-7448E

PD-IM-7448E

Microsemi

POE EVB

0

LE71HR0827G

LE71HR0827G

Microsemi

LINE MOD FXS ABS LE88246DLC

0

ZLR965324H

ZLR965324H

Microsemi

LE9643 / LE9653, 2X 1FXS 90V / 1

0

PD-IM-7504B/F

PD-IM-7504B/F

Microsemi

POE EVB

0

LE71HR0824G

LE71HR0824G

Microsemi

LINE MOD FXS ABS LE88246DLC

0

ZLE30151

ZLE30151

Microsemi

BOARD EVAL VOICE PROCESSOR

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LE71HR124DK

LE71HR124DK

Microsemi

DESIGN KIT VE792

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ZLR965121H

ZLR965121H

Microsemi

REFERENCE DESIGN ZLR965121H

0

LE71HR0865G

LE71HR0865G

Microsemi

LINE MOD ABS LE88266

0

PD70200EVB25B

PD70200EVB25B

Microsemi

POE PD MODULE

0

ZLE38640BADA

ZLE38640BADA

Microsemi

ADVANCED VOIP SPEAKER PHONE REF

0

ZLR96622L

ZLR96622L

Microsemi

REFERENCE DESIGN ZLR96622L

0

PM5461-KIT

PM5461-KIT

Microsemi

PSX/PFX 96/80/64XG3 EVAL KIT

0

LE71HR8923G

LE71HR8923G

Microsemi

LINE MOD VE890-HV/LV 2FXS+1FXO

0

MAX3674EVKIT+

MAX3674EVKIT+

Microsemi

KIT EVALUATION MAX MAX3674

0

Evaluation and Demonstration Boards and Kits

Evaluation and Demonstration Boards and Kits are hardware platforms designed to facilitate the development, testing, and demonstration of electronic systems. They serve as critical tools for engineers and developers to prototype applications, validate designs, and accelerate time-to-market. These boards integrate processors, sensors, communication interfaces, and software ecosystems, enabling rapid experimentation across diverse industries such as IoT, automotive, and industrial automation.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected healthcare, smart cities

Typical architecture includes: - Processing Units: Microcontrollers, FPGAs, or SoCs - Memory: RAM, Flash, EEPROM - Interfaces: USB, UART, SPI, I2C, Ethernet - Power Management: Regulators, battery connectors - Software Stack: SDKs, device drivers, IDEs Physical designs often feature standardized form factors (e.g., Arduino Uno, Raspberry Pi HATs) for modular expansion.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates peripheral compatibility
Power Consumption (mW/MHz)Critical for battery-operated devices
Operating Temperature (-40 C to +85 C)Defines environmental durability

- Internet of Things (IoT): Smart home controllers, edge AI nodes - Automotive: ADAS sensor fusion platforms - Industrial Automation: PLC controllers, predictive maintenance systems - Consumer Electronics: Wearables, AR/VR prototypes

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino MKR Series, Nano 33 IoT

Key considerations: 1. Match processor capabilities to application complexity 2. Verify interface compatibility with target peripherals 3. Assess software ecosystem maturity (e.g., ROS support) 4. Evaluate power budget requirements 5. Consider long-term availability and community support

- Growing adoption of RISC-V-based evaluation platforms - Integration of AI/ML accelerators in edge computing boards - Expansion of open-source hardware ecosystems - Increased focus on energy-efficient architectures for IoT - Standardization of form factors (e.g., SparkFun's Qwiic system)

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