Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EVAL-AD5162SDZ

EVAL-AD5162SDZ

Analog Devices, Inc.

BOARD EVAL FOR AD5162

0

DC757A-A

DC757A-A

Analog Devices, Inc.

BOARD DEMO LTC4302CMS-1

2

DC2417A-B

DC2417A-B

Analog Devices, Inc.

EVAL BOARD FOR LTC4367-1

2

EVAL-AD7879EBZ

EVAL-AD7879EBZ

Analog Devices, Inc.

BOARD EVALUATION FOR AD7879

1

DC1765A-A

DC1765A-A

Analog Devices, Inc.

BOARD DEMO LTC6957-1

6

DC2073A-C

DC2073A-C

Analog Devices, Inc.

EVAL BOARD SILICON OSC

0

DC1051A

DC1051A

Analog Devices, Inc.

BOARD DEMO FOR LTC4217

1

126968-HMC857LC5

126968-HMC857LC5

Analog Devices, Inc.

BOARD EVAL FOR HMC857LC5

0

EVAL-AD5110SDZ

EVAL-AD5110SDZ

Analog Devices, Inc.

BOARD EVAL FOR AD5110

1

EV-ADF4360-2EB1Z

EV-ADF4360-2EB1Z

Analog Devices, Inc.

BOARD EVAL ADF4360

2

ADM8641-EVALZ

ADM8641-EVALZ

Analog Devices, Inc.

EVAL BOARD FOR ADM8641

1

DC1216A-A

DC1216A-A

Analog Devices, Inc.

BOARD EVAL 100MHZ CLOCK

5

DC827A-A

DC827A-A

Analog Devices, Inc.

BOARD DEMO LTC2803

1

DC1705C-D

DC1705C-D

Analog Devices, Inc.

BOARD DEMO LTC6946-4

0

DC740A-A

DC740A-A

Analog Devices, Inc.

EVAL BOARD FOR LTC2922IF

3

EVAL-ADCMP601BKSZ

EVAL-ADCMP601BKSZ

Analog Devices, Inc.

BOARD EVAL FOR ADCMP601 SC70-5

2

EVAL-AD1938AZ

EVAL-AD1938AZ

Analog Devices, Inc.

BOARD EVAL FOR AD1938

1

DC1589A

DC1589A

Analog Devices, Inc.

EVAL BOARD CAP CHARGER LTC4425

7

EVAL-ADUM4221-1EBZ

EVAL-ADUM4221-1EBZ

Analog Devices, Inc.

EVAL BOARD FOR ADUM4221-1

1

DC2315A-A

DC2315A-A

Analog Devices, Inc.

EVAL BOARD FOR LTC4235-1

4

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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