Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DC1627A-A

DC1627A-A

Analog Devices, Inc.

EVAL BOARD FOR LTC4226-1

1

EVAL-CN0235-SDPZ

EVAL-CN0235-SDPZ

Analog Devices, Inc.

BOARD EVAL LITHIUM ION MONITOR

0

EVAL-ADM1272EBZ

EVAL-ADM1272EBZ

Analog Devices, Inc.

EVALUATION BOARD

10

DC2313A

DC2313A

Analog Devices, Inc.

BOARD EVAL FOR LTC2937

5

ADCLK854/PCBZ

ADCLK854/PCBZ

Analog Devices, Inc.

BOARD EVALUATION FOR ADCLK845

1

127283-HMC807LP6CE

127283-HMC807LP6CE

Analog Devices, Inc.

EVAL BOARD HMC807LP6CE

1

AD8436-EVALZ

AD8436-EVALZ

Analog Devices, Inc.

BOARD EVAL FOR AD8436

31

DC1329A

DC1329A

Analog Devices, Inc.

BOARD DEMO FOR LTC4352

1

DC1018B-B

DC1018B-B

Analog Devices, Inc.

DEMO BOARD FOR LT4356-2

9

ADP194CB-EVALZ

ADP194CB-EVALZ

Analog Devices, Inc.

BOARD EVAL FOR ADP194ACBZ

1

DC1502A

DC1502A

Analog Devices, Inc.

BOARD EVAL FOR LTC4359

18

EVAL-ADGS1612SDZ

EVAL-ADGS1612SDZ

Analog Devices, Inc.

EVALUATION BOARD I.C.

1

EV-MCS-LVDRV-Z

EV-MCS-LVDRV-Z

Analog Devices, Inc.

EVAL BOARD

1

EV-ADF4113HVSD1Z

EV-ADF4113HVSD1Z

Analog Devices, Inc.

BOARD EVAL ADF4113HV

1

EVAL-AD5560EBUZ

EVAL-AD5560EBUZ

Analog Devices, Inc.

BOARD EVALUATION FOR AD5560

6

EVAL-ADM2582EEMIZ

EVAL-ADM2582EEMIZ

Analog Devices, Inc.

EVAL BOARD FOR ADM2582E

1

DC827A-B

DC827A-B

Analog Devices, Inc.

BOARD DEMO LTC2804

2

EV1HMC6832ALP5L

EV1HMC6832ALP5L

Analog Devices, Inc.

EVAL BOARD FOR HMC6832

0

EVAL-ADUM7643EBZ

EVAL-ADUM7643EBZ

Analog Devices, Inc.

EVAL BOARD FOR ADUM7643

1

DC370A-B

DC370A-B

Analog Devices, Inc.

BOARD EVAL FOR LTC1734ES6

2

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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