| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
KIT EVALUATION SI52112-B4 |
0 |
|
|
Silicon Labs |
BOARD EVALUATION FOR SI3210 MLP |
0 |
|
|
Silicon Labs |
SI823H9 DEVELOPMENT KIT |
94 |
|
|
Silicon Labs |
TOOL MODEM LOG SI24XX |
0 |
|
|
Silicon Labs |
BOARD EVAL W/DISCRETE INTERFACE |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2438+SI3018 24PIN |
0 |
|
|
Silicon Labs |
EVAL BOARD SI5340 CLK GEN 4OUT |
0 |
|
|
Silicon Labs |
1FXS PCM EVALUATION BOARD FOR SI |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS PCM SI32260-C |
0 |
|
|
Silicon Labs |
KIT EVAL 8PORT SI3480/52/SI3500 |
0 |
|
|
Silicon Labs |
BOARD EVAL 2FXS PCM SI32261-C |
0 |
|
|
Silicon Labs |
BOARD EVAL FOR SI5369 CLK MULT |
0 |
|
|
Silicon Labs |
KIT EVAL FOR SI5376 BGA |
0 |
|
|
Silicon Labs |
1FXS+1FXO PCM EVALUATION KIT FOR |
0 |
|
|
Silicon Labs |
BOARD EVAL SI2404 + SI3010 16PIN |
0 |
|
|
Silicon Labs |
BOARD EVAL 1FXS PCM |
0 |
|
|
Silicon Labs |
EVAL KIT SI3459/3483 POE CTLR |
0 |
|
|
Silicon Labs |
DAUGHTER CARD DUAL FXS SGL FXO |
0 |
|
|
Silicon Labs |
BOARD EVAL ISOMODEM 16PIN |
0 |
|
|
Silicon Labs |
SI823H2X GATE DRIVER BOARD |
3 |
|
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)