Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
132036-HMC858LC4B

132036-HMC858LC4B

Analog Devices, Inc.

BOARD EVAL FOR HMC858LC4B

0

DC2254A-A

DC2254A-A

Analog Devices, Inc.

DEMO BOARD LTC2956-1

2

DC2022A

DC2022A

Analog Devices, Inc.

EVAL BOARD PWR SPLY MNGR

1

DC1645A-B

DC1645A-B

Analog Devices, Inc.

BOARD EVAL LTM8061-4.2

1

EVAL-ADUM3471EBZ

EVAL-ADUM3471EBZ

Analog Devices, Inc.

EVALUATION MODULE FOR ADUM3471

1

129473-HMC824LP6CE

129473-HMC824LP6CE

Analog Devices, Inc.

KIT EVAL HMC824LP6CE

0

122520-HMC726LC3C

122520-HMC726LC3C

Analog Devices, Inc.

EVAL BOARD HMC726LC3C

0

EVAL-ADAU1467Z

EVAL-ADAU1467Z

Analog Devices, Inc.

EVALUATION BOARD I.C.

51

EVAL-ADV7283EBZ

EVAL-ADV7283EBZ

Analog Devices, Inc.

EVAL BOARD VIDEO DECODER

0

EVAL-6SC70EBZ

EVAL-6SC70EBZ

Analog Devices, Inc.

EVALUATION BOARD I.C.

2

DC1735A

DC1735A

Analog Devices, Inc.

BOARD DEMO FOR LTC3226EUD

0

EVAL-CN0187-SDPZ

EVAL-CN0187-SDPZ

Analog Devices, Inc.

BOARD EVAL CN0187

0

EVAL-ADUMQSEBZ

EVAL-ADUMQSEBZ

Analog Devices, Inc.

EVAL BOARD FOR ICOUPLER SMD

6

EVAL-CN0158-EB1Z

EVAL-CN0158-EB1Z

Analog Devices, Inc.

EVAL CIRCUIT BOARD

2

DC1562B-N

DC1562B-N

Analog Devices, Inc.

BOARD EVAL LTC6995-2

1

DC1243A

DC1243A

Analog Devices, Inc.

DEMO BOARD FOR LTC4215-1

3

DC2208A

DC2208A

Analog Devices, Inc.

DEMO BOARD FOR LTC4420CDD

1

DC388C

DC388C

Analog Devices, Inc.

EVAL BOARD TEC LTC1923

0

EVAL-ADV7280EBZ

EVAL-ADV7280EBZ

Analog Devices, Inc.

EVAL BOARD VIDEO DECODER ADV7280

1

DEMO-AD7124-DZ

DEMO-AD7124-DZ

Analog Devices, Inc.

DEV

1

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