| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
KIT EVAL FOR CP2112 |
107 |
|
 |
Silicon Labs |
TINY CLOCK 3-OUTPUT LVCMOS WITH |
0 |
|
 |
Silicon Labs |
EVALUATION BOARD FOR SI5383/84 S |
0 |
|
 |
Silicon Labs |
KIT REF DESIGN SENSORLESS BLDC |
2 |
|
 |
Silicon Labs |
BOARD EVAL SI5350/51 REV B |
13 |
|
 |
Silicon Labs |
KIT EVAL SI826X IN SO-6 |
0 |
|
 |
Silicon Labs |
SI5342 EVALUATION BOARD FOR 1-PL |
5 |
|
 |
Silicon Labs |
KIT DEV SI8630BD+SI8630ED |
1 |
|
 |
Silicon Labs |
KIT EVAL SI871X SO-6 |
2 |
|
 |
Silicon Labs |
EVAL |
5 |
|
 |
Silicon Labs |
KIT EVAL SPI LCD DRIVER CP2400 |
0 |
|
 |
Silicon Labs |
EVALUATION KIT FOR SI8281 DEVICE |
1 |
|
 |
Silicon Labs |
BOARD EVAL FOR PCIE BUFRER 4 |
0 |
|
 |
Silicon Labs |
SI80XX EVAL KIT |
0 |
|
 |
Silicon Labs |
BOARD EVALUATION SI5394 |
3 |
|
 |
Silicon Labs |
REFERENCE DESIGN STEPPER MOTOR |
1 |
|
 |
Silicon Labs |
TINY CLOCK 3-OUTPUT LVCMOS LOW P |
2 |
|
 |
Silicon Labs |
EVAL |
3 |
|
 |
Silicon Labs |
KIT EVAL FOR SI84XXCOM |
0 |
|
 |
Silicon Labs |
KIT EVAL GW 8SOIC SI871X |
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)