| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
EVAL KIT FOR SI53119 |
0 |
|
 |
Silicon Labs |
SAMPLE PACK SI87XX |
1 |
|
 |
Silicon Labs |
EVALUATION BOARD FOR SI5356 |
0 |
|
 |
Silicon Labs |
CP2102N USB TO UART EVALUATION K |
32 |
|
 |
Silicon Labs |
BOARD EVAL SI2401 UART INTERFACE |
0 |
|
 |
Silicon Labs |
WSTK COEXISTENCE BACKPLANE EVB K |
0 |
|
 |
Silicon Labs |
KIT EVAL CP2114 |
2 |
|
 |
Silicon Labs |
KIT EVAL FOR CP2120 |
0 |
|
 |
Silicon Labs |
SI8274/71 EVAL KIT |
2 |
|
 |
Silicon Labs |
SI5391 EVALUATION KIT |
1 |
|
 |
Silicon Labs |
BOARD EVAL XO/VCXO I2C PROGRMBL |
7 |
|
 |
Silicon Labs |
KIT EVAL FOR CP2110 |
3 |
|
 |
Silicon Labs |
BOARD EVAL SI5040 |
4 |
|
 |
Silicon Labs |
NETWORK SYNCHRONIZER & JITTER AT |
5 |
|
 |
Silicon Labs |
SI5347 EVALUATION BOARD FOR QUAD |
1 |
|
 |
Silicon Labs |
BOARD EVAL ISOMODEM 16PIN |
0 |
|
 |
Silicon Labs |
KIT EVAL CP2114-PCM1774 |
0 |
|
 |
Silicon Labs |
EVAL |
3 |
|
 |
Silicon Labs |
SI5344 EVALUATION BOARD FOR 1-PL |
0 |
|
 |
Silicon Labs |
BOARD EVAL POE PSE SGL PORT |
7 |
|
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)