| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Maxim Integrated |
DEV BOARD FOR MAX14900EAGM |
10 |
|
|
Maxim Integrated |
EVKITS FOR MAX20480 7CH AUTO SOC |
9 |
|
|
Maxim Integrated |
EVAL MAX14916 OCTAL SWITCH |
228 |
|
|
Maxim Integrated |
EV KIT FOR REINFORCED, FAST, LOW |
312 |
|
|
Maxim Integrated |
PERIPHERAL MODULE THAT PROVIDES |
10 |
|
|
Maxim Integrated |
INDUSTRIAL UNIVERSAL CONFIGURABL |
311 |
|
|
Maxim Integrated |
EVAL KIT MAX5971B (SINGLE-PORT, |
6 |
|
|
Maxim Integrated |
DG1209 EVALUATION KIT |
314 |
|
|
Maxim Integrated |
EVALUATION KIT: SMALL FORM FACTO |
26 |
|
|
Maxim Integrated |
EVAL KIT FOR MAX14671 (BIDIRECTI |
11 |
|
|
Maxim Integrated |
EVKIT FOR 3.12 GBPS GMSL DESERIA |
9 |
|
|
Maxim Integrated |
KIT EVAL FOR MAX9390 |
9 |
|
|
Maxim Integrated |
EVAL KIT MAX8663 (POWER-MANAGEME |
10 |
|
|
Maxim Integrated |
EVAL KIT/SYSTEM MAX7322 (PORT EX |
12 |
|
|
Maxim Integrated |
KIT EVALUATION FOR MAX3397E |
18 |
|
|
Maxim Integrated |
EVKIT FOR MAX20430HV, ASIL PMIC |
227 |
|
|
Maxim Integrated |
EVAL KIT MAX9121, MAX9122, MAX91 |
8 |
|
|
Maxim Integrated |
EVAL USB TYPE-C OVERVOLTAGE |
237 |
|
|
Maxim Integrated |
EVALUATION KIT: MPP TRACKING DC- |
35 |
|
|
Maxim Integrated |
EVKIT FOR MAX16127 LOAD-DUMP/REV |
49 |
|
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)