Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DC1216A-B

DC1216A-B

Analog Devices, Inc.

BOARD EVAL 122.88MHZ CLOCK

1

EVAL-ADG904EBZ

EVAL-ADG904EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADG904

2

ADP5091-2-EVALZ

ADP5091-2-EVALZ

Analog Devices, Inc.

ADP5091-2 EVALUATION BOARD

32

DC2133A

DC2133A

Analog Devices, Inc.

LTC4079 DEMO BOARD 2.7V-60VIN, 2

15

ADM8611-EVALZ

ADM8611-EVALZ

Analog Devices, Inc.

EVAL BOARD FOR ADM8611

1

EVAL-CN0256-EBZ

EVAL-CN0256-EBZ

Analog Devices, Inc.

BOARD EVAL ISOLATED LVDS

1

AD9520-4/PCBZ

AD9520-4/PCBZ

Analog Devices, Inc.

BOARD EVAL FOR AD9520-4

2

EVAL-AD5522EBUZ

EVAL-AD5522EBUZ

Analog Devices, Inc.

BOARD EVAL FOR 12X12MM AD5522

5

EVAL-ADAU1446EBZ

EVAL-ADAU1446EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADAU1446

0

DC2023A

DC2023A

Analog Devices, Inc.

DEMO BOARD PWR SPLY MANAGER

7

EVAL-ADM3052EBZ

EVAL-ADM3052EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADM3052EBZ

2

EVAL-ADM2486EBZ

EVAL-ADM2486EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADM2486

1

DC740A-B

DC740A-B

Analog Devices, Inc.

EVAL BOARD FOR LTC2922IF

3

DC2073A-G

DC2073A-G

Analog Devices, Inc.

DEMO BOARD OSC TRIPLE FIXED

1

DC491A

DC491A

Analog Devices, Inc.

BOARD DEMO FOR LTC1923EUH

5

EVAL-AD7879-1EBZ

EVAL-AD7879-1EBZ

Analog Devices, Inc.

BOARD EVALUATION FOR AD7879-1

1

EVAL-ADM1087EB

EVAL-ADM1087EB

Analog Devices, Inc.

BOARD EVAL FOR ADM1087

3

ADCLK954/PCBZ

ADCLK954/PCBZ

Analog Devices, Inc.

KIT EVAL CLK BUFF ADCLK954

2

EVAL-ADM2682EEBZ

EVAL-ADM2682EEBZ

Analog Devices, Inc.

BOARD EVAL ADM2682

2

EVAL-ADM2914EBZ

EVAL-ADM2914EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADM2914

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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