| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
EVKIT FOR 14 CHANNEL HIGH-VOLTAG |
25 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX15501 |
18 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX4080 |
110 |
|
 |
Maxim Integrated |
POCKET IO PLC REFERENCE DESIGN |
2 |
|
 |
Maxim Integrated |
EVKIT IDEAL DIODE CONTROLLER WIT |
338 |
|
 |
Maxim Integrated |
MODULE PERIPHERAL FOR MAX14850 |
314 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX16129 |
29 |
|
 |
Maxim Integrated |
4-PORT IO-LINK MASTER |
114 |
|
 |
Maxim Integrated |
EVALUATION KIT MAX11301 |
120 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX3161E |
221 |
|
 |
Maxim Integrated |
DEEPCOVER SHA3 AUTHENTICATOR |
619 |
|
 |
Maxim Integrated |
EVAL AUTHENTICATRO RAD-RES |
29 |
|
 |
Maxim Integrated |
EVAL MAX14813 BINARY SENSOR |
412 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX17600 |
15 |
|
 |
Maxim Integrated |
EVAL KIT ULTRA-LOW POWER HIGHLY |
416 |
|
 |
Maxim Integrated |
EVAL DEEPCOVER IOT SECURITY |
343 |
|
 |
Maxim Integrated |
EVAL MAX14915 OCTAL HIGH SIDE SW |
110 |
|
 |
Maxim Integrated |
KIT PCB EVALUATION FOR MAX9217 |
7 |
|
 |
Maxim Integrated |
REFERENCE DESIGN CAMPBELL |
145 |
|
 |
Maxim Integrated |
REFERENCE DESIGN SANTA FE |
228 |
|
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)