| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD DEMO FOR LTC4269-2 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4274A-3 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD ADF4355 |
3 |
|
 |
Analog Devices, Inc. |
EVALUATION BOARD FOR LTC3331 |
15 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADUM3150Z |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD MCU |
62 |
|
 |
Analog Devices, Inc. |
EVAL BOARD LTC6991 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD CN0376 |
4 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADF4360-4 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADM3054 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADUM4135 |
3 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADCLK925 16LFCSP |
8 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC4000EUFD |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4020EUHF |
18 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADUM3220/ADUM3221 |
1 |
|
 |
Analog Devices, Inc. |
EDUCATION BUCK CONVERTER SHIELD |
7 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM2483 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC4267 |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADM2484 |
4 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD8232 |
13 |
|
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)