| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
EVAL KIT FOR MAX77826 |
9 |
|
 |
Maxim Integrated |
KIT EVAL FOR MAX16128 |
110 |
|
 |
Maxim Integrated |
EVAL KIT MAX14746 LI+ CHARGER |
1218 |
|
 |
Maxim Integrated |
EVAL KIT FOR MAX44211 |
912 |
|
 |
Maxim Integrated |
MICROPLC: 1 CHANNEL AO MODULE |
120 |
|
 |
Maxim Integrated |
KIT EVALUATION FOR MAX14691 |
15 |
|
 |
Maxim Integrated |
EVAL KIT OPTO ISO 3.75KV |
119 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX16126 |
113 |
|
 |
Maxim Integrated |
KIT EVALUATION FOR MAX9860 |
59 |
|
 |
Maxim Integrated |
EVAL KIT MAX77950 WRLS PWR RCR |
2941 |
|
 |
Maxim Integrated |
EVAL MAX17613C REVERSE VP |
334 |
|
 |
Maxim Integrated |
EVAL KIT SECURE AUTH DEMO 1 ES10 |
55252 |
|
 |
Maxim Integrated |
KIT EVALUATION FOR MAX9601 |
28 |
|
 |
Maxim Integrated |
EVAL BOARD FOR MAX14827 |
110 |
|
 |
Maxim Integrated |
EVAL MAX22501 RS485/RS422 |
86 |
|
 |
Maxim Integrated |
KIT EVALUATION FOR MAX14970 |
19 |
|
 |
Maxim Integrated |
REFERENCE DESIGN CORONA |
173 |
|
 |
Maxim Integrated |
EVAL KIT QUAD SER UART MAX14830 |
1425 |
|
 |
Maxim Integrated |
EVAL MAX5995 EVAL POE INTERFACE |
521 |
|
 |
Maxim Integrated |
MAX77962 EVALUATION KIT |
618 |
|
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)