Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EVAL-ADM1075MEBZ

EVAL-ADM1075MEBZ

Analog Devices, Inc.

EVAL BOARD FOR ADM1075

1

AD8452-EVALZ

AD8452-EVALZ

Analog Devices, Inc.

ANALOG FRONT END

1

118777-HMC722LC3C

118777-HMC722LC3C

Analog Devices, Inc.

EVAL BOARD HMC722LC3C

1

EKIT01-HMC769LP6CE

EKIT01-HMC769LP6CE

Analog Devices, Inc.

KIT EVAL HMC769LP6CE

1

ADN8833CB-EVALZ

ADN8833CB-EVALZ

Analog Devices, Inc.

EVAL BOARD 1A TEC ADN8833

2

EVAL-ADAU1787Z

EVAL-ADAU1787Z

Analog Devices, Inc.

EVAL BOARD FOR ADAU1787

63

EVAL-ADE9078EBZ

EVAL-ADE9078EBZ

Analog Devices, Inc.

ADE9078 EVALUATION BOARD

0

DC1625A-A

DC1625A-A

Analog Devices, Inc.

BOARD DEMO FOR LTC4227-1

3

DC1962C-KIT

DC1962C-KIT

Analog Devices, Inc.

EVAL BOARD PMBUS POWER MANAGER

20

DC2046A-E

DC2046A-E

Analog Devices, Inc.

DEV BOARD FOR LT4276A/LT4321

1

EVAL-10MSOPEBZ

EVAL-10MSOPEBZ

Analog Devices, Inc.

EVAL BOARD FOR 10-MSOP

12

ADP5092-1-EVALZ

ADP5092-1-EVALZ

Analog Devices, Inc.

ADP5092 EVALUATION BOARD

7

EVAL-AD5750EBZ

EVAL-AD5750EBZ

Analog Devices, Inc.

BOARD EVAL FOR AD5750

10

EVAL-ADGS5412SDZ

EVAL-ADGS5412SDZ

Analog Devices, Inc.

EVALUATION BOARD I.C.

1

129023-HMC839LP6CE

129023-HMC839LP6CE

Analog Devices, Inc.

KIT EVAL HMC839LP6CE 2FO

0

DC2429A

DC2429A

Analog Devices, Inc.

REF BOARD AND PLL/VCO SUPPLY

18

DC815A

DC815A

Analog Devices, Inc.

LT6552CDD LT6552CS8 - VIDEO LINE

1

EV-ADF4356SD1Z

EV-ADF4356SD1Z

Analog Devices, Inc.

EVAL BOARD FOR ADF4356

11

EVAL-CN0225-SDPZ

EVAL-CN0225-SDPZ

Analog Devices, Inc.

EVAL BOARD FOR CN0225

1

EVAL-ADM3050EEBZ

EVAL-ADM3050EEBZ

Analog Devices, Inc.

ADM3050E EVALUATION BOARD

16

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)

RFQ BOM Call Skype Email
Top