Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
ZLR88621H

ZLR88621H

Microsemi

REFERENCE DESIGN ZL88621H

0

LE71HR8833G

LE71HR8833G

Microsemi

MODULE FPGA LE71HR8822G/32G

0

PD81101EVB-MBB

PD81101EVB-MBB

Microsemi

POE PSE CONTROLLER

0

ZLR964124L

ZLR964124L

Microsemi

REFERENCE DESIGN ZLR964124L

0

DRF1200/CLASS-E

DRF1200/CLASS-E

Microsemi

KIT REF DRF1200 13.56MHZ MOSFET

0

MAX3624AEVKIT+

MAX3624AEVKIT+

Microsemi

KIT EVALUATION MAX MAX3624A

0

OA3MHPDE

OA3MHPDE

Microsemi

OPTICAL DRIVER EVAL BOARD

0

DS31404DK

DS31404DK

Microsemi

KIT DEMO DS31404

0

DRF1400/CLASS-D

DRF1400/CLASS-D

Microsemi

KIT REF DRF1400 13.56MHZ MOSFET

0

MAX24510EVKIT#

MAX24510EVKIT#

Microsemi

KIT EVALUATION MAX24510

0

PM2595-KIT

PM2595-KIT

Microsemi

FLASHTEC 2016 (PM8607) EVALUATIO

0

DRF100/EVALSW

DRF100/EVALSW

Microsemi

EVAL BOARD FOR DRF100

0

PM2594-KIT

PM2594-KIT

Microsemi

FLASHTEC 2016 (PM8607) EVALUATIO

0

DS31406DK

DS31406DK

Microsemi

KIT DEMO DS31406

0

ZLR96721H

ZLR96721H

Microsemi

REFERENCE DESIGN ZLR96721H

0

DRF1300/EVALSW

DRF1300/EVALSW

Microsemi

BOARD EVAL MOSFET HYBRID DRF1300

0

PD-IM-7648M

PD-IM-7648M

Microsemi

POE EVB

0

PM2597-KIT

PM2597-KIT

Microsemi

FLASHTEC 2032 (PM8609) EVALUATIO

0

ZLR964222L

ZLR964222L

Microsemi

REFERENCE DESIGN ZLR964222L

0

PD-IM-7316AG

PD-IM-7316AG

Microsemi

POE EVB

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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