Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DC2262A-B

DC2262A-B

Analog Devices, Inc.

LT4276A/LT4321 DEMO BOARD LTPOE+

1

ADCLK944/PCBZ

ADCLK944/PCBZ

Analog Devices, Inc.

BOARD EVAL ADCLK944 LVPE

4

EV-MCS-LVBRD-Z

EV-MCS-LVBRD-Z

Analog Devices, Inc.

EVAL BOARD

0

AD9544/PCBZ

AD9544/PCBZ

Analog Devices, Inc.

EVALUATION BOARD AD9544

6

EVAL-ADM3252EEBZ

EVAL-ADM3252EEBZ

Analog Devices, Inc.

BOARD EVAL FOR ADM3252E

1

DC2062A-B

DC2062A-B

Analog Devices, Inc.

BOARD DEMO LT4363IDE-2

8

DC2278A-A

DC2278A-A

Analog Devices, Inc.

DEMO BOARD FOR LTC4281

0

EVAL-ADCMP605BCPZ

EVAL-ADCMP605BCPZ

Analog Devices, Inc.

BOARD EVAL FOR ADCMP605

1

118777-HMC721LC3C

118777-HMC721LC3C

Analog Devices, Inc.

EVAL BOARD HMC721LC3C

0

DC1506A

DC1506A

Analog Devices, Inc.

DEMO BOARD FOR LTC4361

2

DC2537A

DC2537A

Analog Devices, Inc.

LTC7000EMSE DEMO BOARD PROTECTED

8

DC306A-A

DC306A-A

Analog Devices, Inc.

DEMO BOARD ADSL LIE DRVR/RX

1

EVAL-ADM1178EBZ

EVAL-ADM1178EBZ

Analog Devices, Inc.

BOARD EVALUATION FOR ADM1178

0

EVAL-ADM4168EEBZ

EVAL-ADM4168EEBZ

Analog Devices, Inc.

BOARD EVAL FOR ADM4168

3

EVAL-ADG5412FEBZ

EVAL-ADG5412FEBZ

Analog Devices, Inc.

EVAL BOARD QUAD ANALOG SW

0

EV-ADF4360-5EB1Z

EV-ADF4360-5EB1Z

Analog Devices, Inc.

BOARD EVAL ADF4360

1

DC732A

DC732A

Analog Devices, Inc.

EVAL BOARD FOR LTC2923CMS10

3

DC2093A-C

DC2093A-C

Analog Devices, Inc.

DEV BOARD FOR LT4275C/LT4321

0

EVAL-AD5273DBZ

EVAL-AD5273DBZ

Analog Devices, Inc.

BOARD EVAL FOR AD5273DBZ

1

EVAL-ADM3066EEB1Z

EVAL-ADM3066EEB1Z

Analog Devices, Inc.

EVAL BOARD FOR LFCSP ADM3066E

3

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