| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
GENERIC EVALUATION BOARD FOR SOI |
0 |
|
|
Maxim Integrated |
KIT DEMO FOR DS3153 |
0 |
|
|
Maxim Integrated |
EVAL KIT DS8113 (SMART CARD INTE |
0 |
|
|
Maxim Integrated |
EVALUATION KIT MAX38804 |
0 |
|
|
Maxim Integrated |
KIT DEMO ECONOSCILLATOR/DIVIDER |
0 |
|
|
Maxim Integrated |
KIT DESIGN FOR DS26503 |
0 |
|
|
Maxim Integrated |
KIT DEMO FOR DS3144 |
0 |
|
|
Maxim Integrated |
HEADSET JACK DETECTION IC WITH A |
0 |
|
|
Maxim Integrated |
REFERENCE DESIGN |
0 |
|
|
Maxim Integrated |
EVAL KIT/SYSTEM MAX6870, MAX6871 |
0 |
|
|
Maxim Integrated |
EVALUATION KIT MAX14690A |
0 |
|
|
Maxim Integrated |
IC SERIALIZER SMD |
0 |
|
|
Maxim Integrated |
INTEGRATED CIRCUIT |
0 |
|
|
Maxim Integrated |
DEMO MAX98373F |
0 |
|
|
Maxim Integrated |
EVALUATION KIT |
0 |
|
|
Maxim Integrated |
EVALUATION KIT |
0 |
|
|
Maxim Integrated |
EVAL KIT FOR MAX14934 |
0 |
|
|
Maxim Integrated |
EVAL KIT FOR MAX6876 |
0 |
|
|
Maxim Integrated |
EVAL KIT MAX9263 (HDCP GIGABIT M |
0 |
|
|
Maxim Integrated |
EVALUATION KIT COAX MAX96880 |
0 |
|
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)