| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Cirrus Logic |
KIT - WM8956 KIT CDB6158 MB DC |
0 |
|
|
Cirrus Logic |
WM8850-6200-FL48-EV1 |
0 |
|
|
Cirrus Logic |
KIT - WM8753 KIT CDB6117 MB DC |
0 |
|
|
Cirrus Logic |
EVALUATION BOARD FOR CS4955A |
0 |
|
|
Cirrus Logic |
KIT - WM8725 KIT CDB6059 MB DC |
0 |
|
|
Cirrus Logic |
KIT - WM8310 KIT CDB6204 MB DC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8956 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
KIT - WM8903 KIT CDB6201 MB DC |
0 |
|
|
Cirrus Logic |
KIT-WM8281 KIT (FLORIDA) LOCHNAG |
0 |
|
|
Cirrus Logic |
EVAL BD - CAOL ILA MINI EVAL BOA |
0 |
|
|
Cirrus Logic |
KIT EVAL PROTOTYPING CS2300-CP |
0 |
|
|
Cirrus Logic |
DEVELOPMENT BOARD FOR CS1500 |
0 |
|
|
Cirrus Logic |
KIT - WM8962 KIT CDB6243 MB DC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8750L MINI EVAL BOAR |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8594-6177-FT48-EV2 E |
0 |
|
|
Cirrus Logic |
BOARD EVAL FOR CS8130 |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8253 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
BD- KNUCKLES1 /43130 & 4399 DC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8533 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
KIT - WM8325 KIT CDB6246 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)