Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EV-ADF4106SD1Z

EV-ADF4106SD1Z

Analog Devices, Inc.

BOARD EVAL FOR ADF4106SD1Z

1

DC2914A-A

DC2914A-A

Analog Devices, Inc.

LTC4238 DEMO BOARD - PARALLEL MO

4

EVAL-ADG2128EBZ

EVAL-ADG2128EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADG2128

2

EVAL-CN0229-SDPZ

EVAL-CN0229-SDPZ

Analog Devices, Inc.

EVAL-CN0229-SDPZ

1

DC1503A-B

DC1503A-B

Analog Devices, Inc.

EVALUATION KIT TRXR LTM2881-5

2

EVAL-CN0321-SDPZ

EVAL-CN0321-SDPZ

Analog Devices, Inc.

BOARD EVAL FOR CN0321

0

DC567A

DC567A

Analog Devices, Inc.

BOARD EVAL FOR LTC4053EMSE

1

AD9522-0/PCBZ

AD9522-0/PCBZ

Analog Devices, Inc.

BOARD EVAL FOR AD9522-0 CLK GEN

1

DC2423A-A

DC2423A-A

Analog Devices, Inc.

DEMO BOARD FOR LTM9100

1

DC1902B

DC1902B

Analog Devices, Inc.

EVAL BOARD FOR LT4320

10

DC2314A-B

DC2314A-B

Analog Devices, Inc.

DEMO BOARD LTC4236-2

1

DC1937B

DC1937B

Analog Devices, Inc.

DEMO BOARD LTC3350EUHF

7

EVAL-ADM1068LQEBZ

EVAL-ADM1068LQEBZ

Analog Devices, Inc.

BOARD EVALUATION FOR ADM1068LQ

0

DC676A

DC676A

Analog Devices, Inc.

BOARD EVAL FOR LTC4055EUF

1

DC2405A

DC2405A

Analog Devices, Inc.

DEMO BOARD FOR LTM2893

3

DC2027A-B

DC2027A-B

Analog Devices, Inc.

BOARD DEMO LTC4364-2

16

EVAL-ADCMP580BCPZ

EVAL-ADCMP580BCPZ

Analog Devices, Inc.

BOARD EVAL FOR ADCMP580BCP

7

EVAL-ADM3066EEBZ

EVAL-ADM3066EEBZ

Analog Devices, Inc.

EVAL BOARD FOR MSOP ADM3066E

0

DC1562B-F

DC1562B-F

Analog Devices, Inc.

EVAL BOARD LTC6992-4

0

DC2966A

DC2966A

Analog Devices, Inc.

LTC3376 DEMO BOARD 20V 4CH BUCK

5

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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