| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
EVAL KIT MAX17058 MODELGAUGE (1C |
12 |
|
|
Maxim Integrated |
EVAL KIT MAX5943A/B/C/D/E (FIREW |
5 |
|
|
Maxim Integrated |
WEARABLE CHARGE-MGMT SOLUTION |
4000 |
|
|
Maxim Integrated |
KIT EVAL FOR MAX5982A |
112 |
|
|
Maxim Integrated |
EVAL KIT MAX5970 |
5 |
|
|
Maxim Integrated |
GMSL SERIALIZER WITH HBM AND HIM |
211 |
|
|
Maxim Integrated |
EVAL KIT MAX17049(MODEL GAUGE 2- |
6 |
|
|
Maxim Integrated |
EVAL KIT MAX7321 (PORT EXPANDER |
6 |
|
|
Maxim Integrated |
EVAL KIT FOR MAX14872 |
0 |
|
|
Maxim Integrated |
EVAL KIT MAX9266 (HDCP GIGABIT M |
6 |
|
|
Maxim Integrated |
EVAL KIT MAX1873 (SIMPLE CURRENT |
13 |
|
|
Maxim Integrated |
EVAL KIT MAX5932 (POSITIVE HIGH- |
7 |
|
|
Maxim Integrated |
SECURE AUTH DEMO 2 ES13 |
452 |
|
|
Maxim Integrated |
KIT MOSFET SINK/3A SOURCE SOT23 |
45 |
|
|
Maxim Integrated |
EVAL KIT MAX7318 (2-WIRE-INTERFA |
17 |
|
|
Maxim Integrated |
EVKIT FOR OVERVOLTAGE AND SURGE |
8 |
|
|
Maxim Integrated |
EVKIT OF SERIALIZER WITH SERIAL |
14 |
|
|
Maxim Integrated |
EVAL KIT/SYSTEM MAX7324 (PORT EX |
5 |
|
|
Maxim Integrated |
EVAL KIT MAX9959 |
8 |
|
|
Maxim Integrated |
30NS, LOW-POWER, 3V/5V, RAIL-TO- |
126 |
|
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)