| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
EVAL LI+ CHARGER MAX14748 |
916 |
|
 |
Maxim Integrated |
DEV KIT DEEPCOVER MAXQ1061 |
38 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX 14724 |
39 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX30034 |
415 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX9268 |
8 |
|
 |
Maxim Integrated |
EVAL KIT MAX4444, MAX4445 |
922 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX16050 |
179 |
|
 |
Maxim Integrated |
MICROPLC 4 CHANNEL AI MODULE |
117 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX96711 |
8 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX31915 |
335 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX14820 |
115 |
|
 |
Maxim Integrated |
EVAL MAX14828 IO-LINK TXRX |
121 |
|
 |
Maxim Integrated |
EVAL MAX17612A OVER V/A |
212 |
|
 |
Maxim Integrated |
EVKIT FOR MAX17526A 5.5V TO 60V, |
618 |
|
 |
Maxim Integrated |
EVAL KIT I2C/SPI UART MAX3107 |
1018 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX17605 |
114 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX14571 |
15 |
|
 |
Maxim Integrated |
EVAL KIT MAX5974A |
108 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX31850 |
9 |
|
 |
Maxim Integrated |
EVAL KIT MAX12931 |
145 |
|
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)