Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DC1645A-A

DC1645A-A

Analog Devices, Inc.

BOARD EVAL LTM8061-4.1

1

DC2073B-A

DC2073B-A

Analog Devices, Inc.

INDUCT KIT

1

EVAL01-HMC958LC5

EVAL01-HMC958LC5

Analog Devices, Inc.

BOARD EVAL FOR HMC958LC5

0

DC1850A-A

DC1850A-A

Analog Devices, Inc.

BOARD DEMO LTC4366HTS8-1

2

127829-HMC826LP6CE

127829-HMC826LP6CE

Analog Devices, Inc.

EVAL BOARD HMC826LP6CE

0

ADN8834CB-EVALZ

ADN8834CB-EVALZ

Analog Devices, Inc.

EVAL BOARD 1.5A TEC ADN8834

20

EVAL-ADM1176EBZ

EVAL-ADM1176EBZ

Analog Devices, Inc.

BOARD EVALUATION FOR ADM1176

1

DC2039A

DC2039A

Analog Devices, Inc.

LTC4015 DEMO BRD

50

AD9559/PCBZ

AD9559/PCBZ

Analog Devices, Inc.

BOARD EVAL FOR AD9559

0

ADL5303-EVALZ

ADL5303-EVALZ

Analog Devices, Inc.

ADL5303 EVALUATION BOARD

8

EVAL-ADN4652EB1Z

EVAL-ADN4652EB1Z

Analog Devices, Inc.

EVAL BOARD FOR ADN4652

1

AD9522-4/PCBZ

AD9522-4/PCBZ

Analog Devices, Inc.

BOARD EVAL FOR AD9522-4 CLK GEN

1

DC1562B-D

DC1562B-D

Analog Devices, Inc.

BOARD EVAL LTC6992-2

1

AD8233CB-EBZ

AD8233CB-EBZ

Analog Devices, Inc.

EVALUATION BOARD

12

EVAL-AD2S1205SDZ

EVAL-AD2S1205SDZ

Analog Devices, Inc.

BOARD EVAL FOR AD2S1205

0

DC1815A-D

DC1815A-D

Analog Devices, Inc.

BOARD EVAL FOR LTC4266A-4

1

EVAL-ADF4007EBZ1

EVAL-ADF4007EBZ1

Analog Devices, Inc.

BOARD EVALUATION FOR ADF4007EB1

11

AD9956/PCBZ

AD9956/PCBZ

Analog Devices, Inc.

BOARD EVAL FOR AD9956

2

DC1496C-D

DC1496C-D

Analog Devices, Inc.

DEMO BOARD FOR LTC2942-1

2

DC906A

DC906A

Analog Devices, Inc.

BOARD DEMO LTC4306

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)

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