Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EVAL-CN0251-SDPZ

EVAL-CN0251-SDPZ

Analog Devices, Inc.

BOARD EVAL 4-CHANNEL AFE

2

EVAL-ADCMP563BRQZ

EVAL-ADCMP563BRQZ

Analog Devices, Inc.

BOARD EVALUATION ADCMP563BRQZ

2

DC1203A

DC1203A

Analog Devices, Inc.

BOARD EVAL DEMO LTC4357

20

EV-ADF5356SD1Z

EV-ADF5356SD1Z

Analog Devices, Inc.

EVAL BOARD FOR ADF5356

16

DC2374B

DC2374B

Analog Devices, Inc.

DEMO BOARD FOR LTC4013

40

DC1468A

DC1468A

Analog Devices, Inc.

EVAL BOARD BATT CHARGER LTC3554

1

AD9514/PCBZ

AD9514/PCBZ

Analog Devices, Inc.

BOARD EVAL CLOCK 3CH AD9514

0

AD9515/PCBZ

AD9515/PCBZ

Analog Devices, Inc.

BOARD EVAL CLOCK 2CH AD9515

0

EVAL-AD7293SDZ

EVAL-AD7293SDZ

Analog Devices, Inc.

EVALUATION CONTROL BOARD

6

122520-HMC727LC3C

122520-HMC727LC3C

Analog Devices, Inc.

EVAL BOARD HMC727LC3C

1

EVAL-ADM2587EEBZ

EVAL-ADM2587EEBZ

Analog Devices, Inc.

BOARD EVAL FOR ADM2587

1

DC2418A-B

DC2418A-B

Analog Devices, Inc.

DEMO BOARD FOR LTC4368-2

12

DC1621A

DC1621A

Analog Devices, Inc.

BOARD DEMO LTM8062

1

DC985A-A/B

DC985A-A/B

Analog Devices, Inc.

DEMO BOARD FOR LTC4245

1

ADP5350CB-EVALZ

ADP5350CB-EVALZ

Analog Devices, Inc.

ADP5350 EVALUATION BOARD WLCSP

1

DC1568A

DC1568A

Analog Devices, Inc.

BOARD BATTERY CHARGER SOLAR PWR

56

129856-HMC704LP4E

129856-HMC704LP4E

Analog Devices, Inc.

BOARD EVAL FOR HMC704

0

DC2073A-F

DC2073A-F

Analog Devices, Inc.

DEMO BOARD OSC TRIPLE FIXED

2

DC2024A-B

DC2024A-B

Analog Devices, Inc.

DEMO BOARD FOR LTC4282

1

125932-HMC874LC3C

125932-HMC874LC3C

Analog Devices, Inc.

EVAL BOARD HMC874LC3C

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)

RFQ BOM Call Skype Email
Top