| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
BOARD EVAL FOR PCIE BUFFER 9 |
0 |
|
 |
Silicon Labs |
OCTAL POE PSE ETHERNET PORT EVAL |
24 |
|
 |
Silicon Labs |
BOARD EVAL FOR SI5327 |
0 |
|
 |
Silicon Labs |
EVAL KIT FOR SI53108 |
2 |
|
 |
Silicon Labs |
12-OUTPUT SI5332 EVAL KIT |
6 |
|
 |
Silicon Labs |
EVAL BOARD SI5342 CLOCK GEN |
0 |
|
 |
Silicon Labs |
EVAL BOARD FOR SI50122-A5 |
1 |
|
 |
Silicon Labs |
RF EVAL FOR SI2439 |
2 |
|
 |
Silicon Labs |
DEVELOPMENT DATA ACQUISITION |
1 |
|
 |
Silicon Labs |
KIT EVAL SI52111-B4 |
0 |
|
 |
Silicon Labs |
KIT EVAL CP2114-CS42L55 |
0 |
|
 |
Silicon Labs |
KIT EVAL SI86XX 3.75KV 5KV |
13 |
|
 |
Silicon Labs |
REF DESIGN C8051F850 BLDC |
2 |
|
 |
Silicon Labs |
EVAL KIT FOR SI3459 POE CTLR |
3 |
|
 |
Silicon Labs |
EVALUATION KIT SI8239X |
5 |
|
 |
Silicon Labs |
EFP0111 EVALUATION KIT |
30 |
|
 |
Silicon Labs |
KIT REF DESIGN FOR SI890X ADC |
0 |
|
 |
Silicon Labs |
BOARD EVAL FOR PCIE GENERATOR 9 |
1 |
|
 |
Silicon Labs |
6-OUTPUT SI5332 EVAL KIT |
8 |
|
 |
Silicon Labs |
EVAL |
2 |
|
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)