Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EVAL-ADUM5211EBZ

EVAL-ADUM5211EBZ

Analog Devices, Inc.

BOARD EVAL FOR ADUM521X ADUM621X

6

129511-HMC838LP6CE

129511-HMC838LP6CE

Analog Devices, Inc.

EVAL BOARD HMC838LP6CE

1

DC2160A

DC2160A

Analog Devices, Inc.

DEMO BOARD FOR LTC4419CDD

2

EVAL01-HMC988LP3E

EVAL01-HMC988LP3E

Analog Devices, Inc.

EVAL BOARD HMC988LP3E

1

127900-HMC765LP6CE

127900-HMC765LP6CE

Analog Devices, Inc.

KIT EVAL HMC765LP6CE

1

DC2392A

DC2392A

Analog Devices, Inc.

LTC7860EMSE DEMO BOARD - SWITCHI

6

DC1733A-A

DC1733A-A

Analog Devices, Inc.

DEMO BOARD LT3669-1

4

EKIT01-HMC1023LP5

EKIT01-HMC1023LP5

Analog Devices, Inc.

EVAL BOARD HMC1023LP5E

1

DC1415A

DC1415A

Analog Devices, Inc.

EVAL BOARD FOR LTC4265

18

DC1851A

DC1851A

Analog Devices, Inc.

BOARD EVAL FOR LTC2872

0

DC718C

DC718C

Analog Devices, Inc.

DEMO QUIKEVAL-II DATA

9

EKIT01-HMC1044LP3E

EKIT01-HMC1044LP3E

Analog Devices, Inc.

BOARD EVALUATION HMC1044LP3E

0

DC2492A

DC2492A

Analog Devices, Inc.

LTC7000-1EMSE DEMO BOARD - PROTE

9

EVAL-6SOT23EBZ

EVAL-6SOT23EBZ

Analog Devices, Inc.

EVAL BOARD FOR 6SOT23

2

EVAL-ADV7619-7511

EVAL-ADV7619-7511

Analog Devices, Inc.

EVAL BOARD FOR ADV7511 ADV7619

2

EVAL-ADM1192EBZ

EVAL-ADM1192EBZ

Analog Devices, Inc.

BOARD EVALUATION FOR ADM1192

0

EVAL-AD5165DBZ

EVAL-AD5165DBZ

Analog Devices, Inc.

EVAL BOARD FOR AD5165

0

EVAL-AD5259DBZ

EVAL-AD5259DBZ

Analog Devices, Inc.

BOARD EVAL FOR AD5259DBZ

7

ADP1047DC1-EVALZ

ADP1047DC1-EVALZ

Analog Devices, Inc.

EVAL BOARD DGTL PFC CTRLR

0

126578-HMC854LC5

126578-HMC854LC5

Analog Devices, Inc.

BOARD EVAL FOR HMC854LC5

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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