| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Cirrus Logic |
CS47L63 MINI BOARD |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8974 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8994 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
KIT - WM8988 KIT CDB6097 MB DC |
0 |
|
|
Cirrus Logic |
MARLEY MINI BOARD |
0 |
|
|
Cirrus Logic |
32BIT 600M 128PIN QFPDSP EVL KIT |
0 |
|
|
Cirrus Logic |
EVAL BOARD DUAL DSP |
0 |
|
|
Cirrus Logic |
BOARD EVAL 32BIT HD AUD DECODER |
0 |
|
|
Cirrus Logic |
KIT - WM9715 KIT CDB6123 MB DC |
0 |
|
|
Cirrus Logic |
KIT - WM8994 KIT CDB6220 MB DC |
0 |
|
|
Cirrus Logic |
EVAL BD - BASE BRD WM8351/8350 |
0 |
|
|
Cirrus Logic |
KIT - WM8962B KIT CDB6243 MB DC |
2 |
|
|
Cirrus Logic |
KIT - WM8960 KIT CDB6158 MB DC |
0 |
|
|
Cirrus Logic |
KIT - CS47L15(GAINES) + LOCHNAGA |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8962B MINI EVAL BOAR |
0 |
|
|
Cirrus Logic |
KIT - WM8758B KIT CDB6160 MB DC |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8750BL MINI EVAL BOA |
0 |
|
|
Cirrus Logic |
EVAL BD - WM8235 MINI EVAL BOARD |
0 |
|
|
Cirrus Logic |
KIT-CS47L35 KIT(MARLEY)LOCHNAGAR |
2 |
|
|
Cirrus Logic |
KIT - WM9713 KIT CDB6123 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)