| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
EVALUATION KIT MAX9286 W/COAX |
212 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX9867 |
2016 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX4948 |
27 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX96706 |
513 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX40200 |
28 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX34409 |
122 |
|
 |
Maxim Integrated |
EVAL KIT FOR DS28E17 |
917 |
|
 |
Maxim Integrated |
BOARD EVAL FOR ULP STEREO CODEC |
1420 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX3872 |
0 |
|
 |
Maxim Integrated |
EVAL MAX20303 WEAR PMIC |
414 |
|
 |
Maxim Integrated |
EVAL MAX17613 PROTECTION |
820 |
|
 |
Maxim Integrated |
EVAL KIT MAX14930/31/32/34/35/36 |
11 |
|
 |
Maxim Integrated |
EVAL KIT MAX5974C |
17 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX31855 |
110 |
|
 |
Maxim Integrated |
IO-LINK QUAD SERVO DRIVER |
127 |
|
 |
Maxim Integrated |
EVAL MAX20333 |
331 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX5969B |
1036 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX11300 |
654 |
|
 |
Maxim Integrated |
EVKIT FOR MAX17523 |
18 |
|
 |
Maxim Integrated |
EVKIT FOR DUAL PRECISION BUS ACC |
16 |
|
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)