| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Semtech |
EVAL BOARD FOR GN2024 |
0 |
|
|
Semtech |
EVAL BOARD FOR GS2962 |
0 |
|
|
Semtech |
EVAL BOARD FOR SMI10021 |
0 |
|
|
Semtech |
EVAL BOARD FOR GN2411 |
0 |
|
|
Semtech |
EVAL BOARD ELECT GN1412A |
0 |
|
|
Semtech |
EVALUATION KIT SX8675 |
0 |
|
|
Semtech |
EVAL BOARD FOR GN2010EA |
0 |
|
|
Semtech |
EVAL BOARD FOR SMI4039 |
0 |
|
|
Semtech |
EVAL BOARD FOR GN2405A |
0 |
|
|
Semtech |
BOARD ELECT GN1090B 1G-14.5G |
0 |
|
|
Semtech |
EVAL BOARD FOR GN2015 |
0 |
|
|
Semtech |
EVAL BOARD FOR EB1531 REV C |
0 |
|
|
Semtech |
EVAL BOARD FOR 4CH RECLOCKER |
0 |
|
|
Semtech |
EVAL BOARD FOR EB9092 REV 1 |
0 |
|
|
Semtech |
EVAL BD ELECT 1-11.3G SR LSR DVR |
0 |
|
|
Semtech |
EVAL BOARD FOR GN1407 |
0 |
|
|
Semtech |
EVAL BOARD FOR GN2016 |
0 |
|
|
Semtech |
OPTICAL EVAL BOARD FOR GN1158 |
0 |
|
|
Semtech |
EVAL BOARD FOR CABLE DRIVER |
0 |
|
|
Semtech |
EVAL BOARD FOR SMI10022 |
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)