| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Cirrus Logic |
EVAL BD - WM8532 EVAL BOARD |
0 |
|
|
Cirrus Logic |
EVAL BRD - BASE BOARD AUDIO DSP |
0 |
|
|
Cirrus Logic |
REFERENCE DESIGN FOR CS4210 |
0 |
|
|
Cirrus Logic |
KIT - WM8533 KIT CDB2011 MB DC |
0 |
|
|
Cirrus Logic |
KIT - WM8350 KIT CDB6143 MB DC |
0 |
|
|
Cirrus Logic |
BOARD EVAL FOR CS42324 CODEC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8310 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
KIT - WM1811A KIT CDB6220 MB DC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8973 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
KIT - WM8750L KIT CDB6097 MB DC |
0 |
|
|
Cirrus Logic |
KIT - WM8711L KIT CDB6061 MB DC |
0 |
|
|
Cirrus Logic |
EVALKIT 32BIT 600M 128PIN QFPDSP |
0 |
|
|
Cirrus Logic |
BOARD EVAL FOR CS4210 |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8962 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
EVAL SYSTEM WM1811A CODEC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8725 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8595 BOARD |
0 |
|
|
Cirrus Logic |
KIT - WM8973 KIT CDB6097 MB DC |
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)