| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADP1046-100 |
2 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR ADF4002 |
17 |
|
 |
Analog Devices, Inc. |
PCB ADM2795E ISO EMC & FAULT PRO |
1 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTM9100 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADP1053 |
0 |
|
 |
Analog Devices, Inc. |
A2B LOCAL-POWER SLAVE I2S BD |
14 |
|
 |
Analog Devices, Inc. |
BOARD EVAL HMC839LP6GE |
0 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTM2892-S |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR ADG5436 |
2 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR CN0185 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR LTC4100EGN |
40 |
|
 |
Analog Devices, Inc. |
EVAL BOARD HMC769LP6CE |
1 |
|
 |
Analog Devices, Inc. |
EVAL BOARD ADF4355 |
15 |
|
 |
Analog Devices, Inc. |
DEV BOARD FOR LT4276C/LT4321 |
6 |
|
 |
Analog Devices, Inc. |
ISO BRD UNPOP PWR AND 4CH DATA R |
0 |
|
 |
Analog Devices, Inc. |
DEMO BOARD FOR LTC4215 |
1 |
|
 |
Analog Devices, Inc. |
BOARD EVAL FOR HMC955LC4B |
0 |
|
 |
Analog Devices, Inc. |
DEMO BOARD OSC PROGRAMABLE |
0 |
|
 |
Analog Devices, Inc. |
DEMO BOARD LT8490 |
47 |
|
 |
Analog Devices, Inc. |
EVAL BOARD FOR LTC1563-2CGN |
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)