Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
CDBWM8740-1

CDBWM8740-1

Cirrus Logic

EVAL BD - WM8740-6054-DS28-EV1 E

0

CDB6109-1

CDB6109-1

Cirrus Logic

EVAL BD-BASEBRD8224/8216,15&14/8

0

CDB6243-1

CDB6243-1

Cirrus Logic

EVAL BD - BASE BRD WM1804/8962

1

CDBWM8214-M-1

CDBWM8214-M-1

Cirrus Logic

EVAL BD - WM8214 MINI EVAL BOARD

0

CDBWM8326-M-1

CDBWM8326-M-1

Cirrus Logic

EVAL BD - WM8326 MINI EVAL BOARD

0

CDBWM8750JL-M-1

CDBWM8750JL-M-1

Cirrus Logic

EVAL BD - WM8750JL MINI EVAL BOA

0

CDBWM8215-M-1

CDBWM8215-M-1

Cirrus Logic

EVAL BD - WM8215 MINI EVAL BOARD

0

CDB6160-1

CDB6160-1

Cirrus Logic

EVAL BD - BASE BRD WM8985/8983/8

0

CDBWM8963-M-1

CDBWM8963-M-1

Cirrus Logic

EVAL BD - WM8963 MINI EVAL BOARD

0

CDBWM9715-M-1

CDBWM9715-M-1

Cirrus Logic

EVAL BD - WM9715 MINI EVAL BOARD

0

CRD48DV2-USB

CRD48DV2-USB

Cirrus Logic

EVAL BD 2CH 32BIT FF AUDIO DSP F

0

CDB6208-1

CDB6208-1

Cirrus Logic

EVAL BD - BASE BRD WM1801

0

CDB6117-1

CDB6117-1

Cirrus Logic

EVAL BD - BASE BRD WM8753

0

CDK47L85-S-2

CDK47L85-S-2

Cirrus Logic

KIT-CS47L85 KIT(CLEARWTR)LOCHNAG

0

CDBWM8731L-M-1

CDBWM8731L-M-1

Cirrus Logic

EVAL BD - WM8731L MINI EVAL BOAR

0

CDKWM8958-S-1

CDKWM8958-S-1

Cirrus Logic

KIT - WM8958 KIT CDB6220 MB DC

0

CDBWM8741-2

CDBWM8741-2

Cirrus Logic

EVAL BD - WM8741 EVAL BOARD

0

CDBWM8523-1

CDBWM8523-1

Cirrus Logic

EVAL BD - WM8523 EVAL BOARD

0

CDBWM8946-M-1

CDBWM8946-M-1

Cirrus Logic

EVAL BD - WM8946 MINI EVAL BOARD

0

CDKWM8963-S-1

CDKWM8963-S-1

Cirrus Logic

KIT - WM8963 KIT CDB6243 MB DC

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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