| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
EVAL MAX96700 GMSL |
114 |
|
 |
Maxim Integrated |
EVAL MAX17312 MODELGAUGE |
123 |
|
 |
Maxim Integrated |
EVAL MAX22500 RS485/RS422 |
517 |
|
 |
Maxim Integrated |
EVKIT FOR MAX17525 |
17 |
|
 |
Maxim Integrated |
EVAL KIT MAX14435 DGTL ISO 5KV |
142 |
|
 |
Maxim Integrated |
BOARD EVAL RTC DS3231M |
35213 |
|
 |
Maxim Integrated |
EVAL MAX17302 MODELGAUGE |
26 |
|
 |
Maxim Integrated |
DG1208 EVALUATION KIT |
314 |
|
 |
Maxim Integrated |
EVAL SIMO BUCK-BST MAX77278 |
414 |
|
 |
Maxim Integrated |
KIT EVAL FOR FAN SPEED CTLR LUT |
28 |
|
 |
Maxim Integrated |
EVAL MAX30001 BIO AFE |
2998 |
|
 |
Maxim Integrated |
EVKIT FOR MODEL GAUGE M5 1S 1W |
16 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX1493 |
13 |
|
 |
Maxim Integrated |
EVKIT FOR USB TYPEC CHARGER DETE |
320 |
|
 |
Maxim Integrated |
REFERENCE DESIGN RIVERSIDE |
27 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX14937 |
128 |
|
 |
Maxim Integrated |
EVALUATION KIT FOR MAX4989 |
435 |
|
 |
Maxim Integrated |
EVAL BOARD MAX14775E MAX14776E |
215 |
|
 |
Maxim Integrated |
EVAL MODULE FOR MAX31865 |
62421 |
|
 |
Maxim Integrated |
EVAL MAX17313 MODELGAUGE |
218 |
|
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)