Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DC1138A-B

DC1138A-B

Analog Devices, Inc.

BOARD EVAL FOR LT3557EUF

3

DC2116A-B

DC2116A-B

Analog Devices, Inc.

DEMO BOARD LTC4233

2

EV2HMC6832ALP5L

EV2HMC6832ALP5L

Analog Devices, Inc.

EVAL BOARD FOR HMC6832

4

125605-HMC702LP6CE

125605-HMC702LP6CE

Analog Devices, Inc.

KIT EVAL HMC702LP6CE

1

EVAL-ADM1294EBZ

EVAL-ADM1294EBZ

Analog Devices, Inc.

EVAL BOARD QUAD UV/OV MONITOR

0

DC1099A

DC1099A

Analog Devices, Inc.

BOARD EVAL LTC2953

1

DC1018B-C

DC1018B-C

Analog Devices, Inc.

DEMO BOARD FOR LT4356-3

2

EVAL-ADM3061EEB1Z

EVAL-ADM3061EEB1Z

Analog Devices, Inc.

ADM3061E MSOP EVAL BOARD 8-LD 50

0

EVAL-ADM2463EEBZ

EVAL-ADM2463EEBZ

Analog Devices, Inc.

ADM2463E EVAL BOARD

3

129538-HMC974LC3C

129538-HMC974LC3C

Analog Devices, Inc.

EVAL BOARD HMC974LC3C

0

EVAL-ADA4350RUZ-P

EVAL-ADA4350RUZ-P

Analog Devices, Inc.

EVAL BOARD ADA4350RUZ-P

2

DC705A

DC705A

Analog Devices, Inc.

BOARD EVAL FOR LTC4053EMSE

1

DC2364A

DC2364A

Analog Devices, Inc.

DEMO BOARD FOR LTC2873

2

DC364A-B

DC364A-B

Analog Devices, Inc.

BOARD EVAL FOR LTC1732EMS

3

DC1880A

DC1880A

Analog Devices, Inc.

BOARD EVAL LTC2874

8

EVAL-ADE7816EBZ

EVAL-ADE7816EBZ

Analog Devices, Inc.

BOARD EVALUATION FOR ADE7816

1

EVAL-ADM3063EEBZ

EVAL-ADM3063EEBZ

Analog Devices, Inc.

ADM3063E EVAL BOARD

3

DC1079A-B

DC1079A-B

Analog Devices, Inc.

EVAL BOARD FOR LTC4310-2

1

DC2608A-KIT

DC2608A-KIT

Analog Devices, Inc.

STARTER KIT LTC2986-1 W/LINDUINO

2

DC2480A

DC2480A

Analog Devices, Inc.

LTC4283 DEMO BOARD

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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