| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Silicon Labs |
EVAL KIT FOR SI53112 |
0 |
|
 |
Silicon Labs |
KIT EVALUATION FOR CP2102 |
65 |
|
 |
Silicon Labs |
SI5380 EVALUATION BOARD FOR ULTA |
1 |
|
 |
Silicon Labs |
BOARD EVAL FOR SI5325/26 |
0 |
|
 |
Silicon Labs |
KIT EVAL FOR CP2103 USB TO UART |
3 |
|
 |
Silicon Labs |
LVCMOS CLOCK GENERATOR EVAL BRD |
9 |
|
 |
Silicon Labs |
KIT EVAL FOR SI840X |
1 |
|
 |
Silicon Labs |
BOARD EVAL FOR XO/VCXO SGL/DUAL |
11 |
|
 |
Silicon Labs |
BOARD EVALUATION SI5392 |
4 |
|
 |
Silicon Labs |
EVALUATION KIT FOR SI8752 ISOLAT |
2 |
|
 |
Silicon Labs |
SI8273/71 EVAL KIT |
3 |
|
 |
Silicon Labs |
USB TYPE-C RECHARGEABLE BATTERY |
3 |
|
 |
Silicon Labs |
BOARD EVAL FOR SI50X 3.2X4MM |
1 |
|
 |
Silicon Labs |
BOARD EVAL FOR SI5374 |
0 |
|
 |
Silicon Labs |
CP2615 USB AUDIO BRIDGE KIT |
5 |
|
 |
Silicon Labs |
KIT EVAL SI871X SO-6 |
0 |
|
 |
Silicon Labs |
SI5345 EVALUATION BOARD FOR 1-PL |
11 |
|
 |
Silicon Labs |
EVALUATION KIT SI86XXT |
7 |
|
 |
Silicon Labs |
EFP0108 EVALUATION KIT |
28 |
|
 |
Silicon Labs |
KIT EVAL SI826X IN 8-SOIC |
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)