| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
KIT EVAL SI871X GW 8-DIP |
0 |
|
 |
Silicon Labs |
CP2615 USB AUDIO BRIDGE KIT |
36 |
|
 |
Silicon Labs |
BOARD EVALUATION FOR SI5317 |
2 |
|
 |
Silicon Labs |
SI838X EVAL KIT |
2 |
|
 |
Silicon Labs |
BOARD EVAL FOR SI5367/68 |
0 |
|
 |
Silicon Labs |
KIT EVAL SI871X 8-LGA |
1 |
|
 |
Silicon Labs |
BOARD EVALUATION SI5319 |
0 |
|
 |
Silicon Labs |
BOARD EVAL FOR SI5328 |
2 |
|
 |
Silicon Labs |
SINGLE 90W POE ETHERNET PORT EVA |
57 |
|
 |
Silicon Labs |
BOARD EVAL FOR SI5375 |
0 |
|
 |
Silicon Labs |
BOARD EVAL FOR PCIE GENERATOR 4 |
0 |
|
 |
Silicon Labs |
BOARD EVAL CLOCK BUFFER SI53300 |
19 |
|
 |
Silicon Labs |
KIT EVAL FOR SI84XXISO |
2 |
|
 |
Silicon Labs |
KIT EVAL I2C LCD DRIVER CP2401 |
0 |
|
 |
Silicon Labs |
EVAL BOARD SI882XX ISOLATOR PLUS |
9 |
|
 |
Silicon Labs |
EVAL BOARD SI5344H/SI5342H |
4 |
|
 |
Silicon Labs |
SI5341 EVALUATION BOARD FOR CLOC |
13 |
|
 |
Silicon Labs |
EVALUATION KIT FOR SI8285 AND SI |
13 |
|
 |
Silicon Labs |
SI5346 EVALUATION BOARD FOR DUAL |
1 |
|
 |
Silicon Labs |
KIT EVAL SI826X IN GW DIP-8 |
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)