| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
EVAL BOARD QUAD ANALOG SW |
2 |
|
 |
Analog Devices, Inc. |
BOARD DEMO LT4363IDE-1 |
2 |
|
 |
Analog Devices, Inc. |
EVAL MODULE FOR ADUM4223 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC765LP6CE |
1 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LT4295/LT4321 |
7 |
|
 |
Analog Devices, Inc. |
BOARD DEMO LTC4417 |
25 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADAU1761 |
21 |
|
 |
Analog Devices, Inc. |
BOARD EVAL ADP1048-600 |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADG5209 |
1 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LT4256-3 |
2 |
|
 |
Analog Devices, Inc. |
HOT SWAPPABLE SUPERCAP CHR, BACK |
6 |
|
 |
Analog Devices, Inc. |
BOARD EVAL LTC6992-1 |
56 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADV7181CLQ |
1 |
|
 |
Analog Devices, Inc. |
LTC6754 DEMO BOARD |
3 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADCMP380 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADM8615 |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC748LC3C |
0 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR AD9551 |
1 |
|
 |
Analog Devices, Inc. |
A2B BUS-POWER SLAVE I2S/2XPDM BD |
41 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC4222 |
1 |
|
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)