| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Cirrus Logic |
KIT - WM8766 KIT CDB6118 MB DC |
0 |
|
|
Cirrus Logic |
EVAL BD - BASE BRD WM8310 |
0 |
|
|
Cirrus Logic |
EVAL BD 102DB 192KHZ 6CH DAC |
0 |
|
|
Cirrus Logic |
KIT - WM8214 KIT CDB6109 MB DC |
0 |
|
|
Cirrus Logic |
KIT 32BIT HD AUD DECODER DSP |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8196 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
KIT - WM8940 KIT CDB6162 MB DC |
0 |
|
|
Cirrus Logic |
BD-130DB32BITHIPERFDACWPSEUDODF |
0 |
|
|
Cirrus Logic |
KIT - WM8978 KIT CDB6160 MB DC |
0 |
|
|
Cirrus Logic |
BOARD EVAL FOR CK49X |
0 |
|
|
Cirrus Logic |
KIT - WM8918 KIT CDB6201 MB DC |
1 |
|
|
Cirrus Logic |
KIT - WM8750JL KIT CDB6097 MB DC |
0 |
|
|
Cirrus Logic |
KIT - WM8281 KIT (LARGO) LOCHNAG |
0 |
|
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Cirrus Logic |
EVAL BD DAUGHTER CARD ATHENA4 |
0 |
|
|
Cirrus Logic |
EVAL BD - WM9713 MINI EVAL BOARD |
0 |
|
 |
Cirrus Logic |
BOARD EVAL FOR CS42428 CODEC |
0 |
|
 |
Cirrus Logic |
EVAL BOARD WM7121 2PC |
0 |
|
 |
Cirrus Logic |
DEVELOPMENT BOARD FOR CS1601 |
0 |
|
 |
Cirrus Logic |
EVAL BOARD WM7121P 2PC |
0 |
|
 |
Cirrus Logic |
DEV BOARD FOR CS1500 |
0 |
|
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.
| Type | Functional Features | Application Examples |
|---|---|---|
| Microcontroller Development Boards | Embedded CPUs, GPIOs, integrated peripherals | IoT devices, robotics |
| FPGA Evaluation Boards | Reconfigurable logic, high-speed interfaces | Communication systems, AI accelerators |
| Sensor Expansion Kits | Multi-sensor integration (temperature, motion, etc.) | Smart agriculture, environmental monitoring |
| Wireless Communication Modules | Bluetooth/Wi-Fi/LoRa protocols, antenna interfaces | Connected 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.
| Parameter | Description |
|---|---|
| Processor Performance (MHz/GHz) | Determines computational capability |
| Memory Capacity (RAM/Flash) | Affects program complexity and data storage |
| Interface Types | Dictates 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
| Manufacturer | Representative Products |
|---|---|
| STMicroelectronics | STM32 Nucleo Series, SensorTile Kit |
| Intel | Intel Edison, Movidius Neural Compute Stick |
| Xilinx | Zynq UltraScale+ MPSoC Evaluation Kit |
| Arduino | Arduino 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)