Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EVAL-ADUM4122EBZ

EVAL-ADUM4122EBZ

Analog Devices, Inc.

EVAL BOARD FOR ADUM4122

11

EV-AD7284SSSDZ

EV-AD7284SSSDZ

Analog Devices, Inc.

MINI TRANSFORMER ISOLATED SLAVE

1

129471-HMC822LP6CE

129471-HMC822LP6CE

Analog Devices, Inc.

KIT EVAL HMC822LP6CE FO/2 & FO

1

DC1562B-A

DC1562B-A

Analog Devices, Inc.

BOARD EVAL LTC6990

1

EVAL-ADCMP561BRQZ

EVAL-ADCMP561BRQZ

Analog Devices, Inc.

BOARD EVALUATION ADCMP561BRQZ

0

EVAL01-HMC877LC3

EVAL01-HMC877LC3

Analog Devices, Inc.

BOARD EVAL FOR HMC877LC3

0

DC1473A-A

DC1473A-A

Analog Devices, Inc.

BOARD DEMO FOR LT3650EDD-8.4

1

EVAL-AD5932EBZ

EVAL-AD5932EBZ

Analog Devices, Inc.

BOARD EVAL FOR AD5932

0

DC1899A-B

DC1899A-B

Analog Devices, Inc.

BOARD EVAL FOR LTC4228-2

0

EVAL01-HMC1031MS8E

EVAL01-HMC1031MS8E

Analog Devices, Inc.

BOARD EVAL FOR HMC1031

8

129512-HMC838LP6CE

129512-HMC838LP6CE

Analog Devices, Inc.

EVAL BOARD HMC838LP6CE

0

DC2259A

DC2259A

Analog Devices, Inc.

DEMO BOARD FOR LTC6811-1

57

DC1941D

DC1941D

Analog Devices, Inc.

EVAL BOARD FOR LTC6820

169

EVAL01-HMC987LP5E

EVAL01-HMC987LP5E

Analog Devices, Inc.

EVAL BOARD HMC987LP5E

8

EVAL-ADF4157EB1Z

EVAL-ADF4157EB1Z

Analog Devices, Inc.

BOARD EVALUATION FOR ADF4157

1

129075-HMC840LP6CE

129075-HMC840LP6CE

Analog Devices, Inc.

BOARD EVAL HMC840LP6CE

0

127828-HMC824LP6CE

127828-HMC824LP6CE

Analog Devices, Inc.

EVAL BOARD HMC824LP6CE

0

EVAL-ADV7180-32EBZ

EVAL-ADV7180-32EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADV7180

1

EVAL-24TSSOPEBZ

EVAL-24TSSOPEBZ

Analog Devices, Inc.

EVAL BOARD FOR 24-TSSOP

12

EVAL-ADV8003-SMZ-P

EVAL-ADV8003-SMZ-P

Analog Devices, Inc.

EVAL BOARD FOR ADV8003

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)

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