| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9523-1 |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC2986-1 |
7 |
|
 |
Analog Devices, Inc. |
KIT EVAL FOR HMC703 |
12 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR CN0272 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL HMC698LP5E |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR HMC837 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4224-2 |
6 |
|
 |
Analog Devices, Inc. |
EVAL BOARD 3/4 CHANNEL SOIC |
5 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADCMP602 8MSOP |
7 |
|
 |
Analog Devices, Inc. |
BOARD EVAL LTM8061-8.4 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADF4155 |
1 |
|
 |
Analog Devices, Inc. |
BD DEMO FOR LTC4412 / LTC4414 |
25 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LT6658 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADUCM331 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4269-1 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC3305 |
3 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LT3585EDDB |
5 |
|
 |
Analog Devices, Inc. |
EVAL BOARD DGTL ISOLATOR |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVALUATION FOR AD9912 |
13 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR CN0325 |
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)