Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
DS28EL15EVKIT#

DS28EL15EVKIT#

Maxim Integrated

EVAL KIT FOR DS28EL15

29

MAX5389EVKIT+

MAX5389EVKIT+

Maxim Integrated

EVAL KIT MAX5389

15

MAX5422EVKIT+

MAX5422EVKIT+

Maxim Integrated

KIT EVAL MAX5422 MAX5423 MAX5424

29

MAX9060EVKIT+

MAX9060EVKIT+

Maxim Integrated

KIT EVAL FOR MAX9060

15

MAX14690EVKIT#

MAX14690EVKIT#

Maxim Integrated

EVAL KIT FOR MAX14690

16

DS28E84EVKIT#

DS28E84EVKIT#

Maxim Integrated

EVAL DS28E84 1WIRE AUTHENTICATOR

14

MAX34417EVKIT#

MAX34417EVKIT#

Maxim Integrated

EVAL MAX34417 4CH SMBUS

117

MAX14890EEVKIT#

MAX14890EEVKIT#

Maxim Integrated

EVAL KIT INCR ENCODER RECEIVER

1421

MAX77654EVKIT#

MAX77654EVKIT#

Maxim Integrated

EVAL PMIC SIMO MAX77654

517

MAX17261GEVKIT#

MAX17261GEVKIT#

Maxim Integrated

EVKIT MODEL GAUGE M5 MAX17261

1437

MAXREFDES36#

MAXREFDES36#

Maxim Integrated

IO-LINK 16-CHANNEL DIGITAL INPUT

110

MAX4993EVKIT+

MAX4993EVKIT+

Maxim Integrated

EVALUATION KIT FOR MAX4993

6

MAX9280ACOAXEVKIT#

MAX9280ACOAXEVKIT#

Maxim Integrated

EVAL KIT FOR MAX9280

44

MAX17613BEVKIT#

MAX17613BEVKIT#

Maxim Integrated

EVAL MAX17613B OV UV PROTECT

323

MAX15301EVKITHP#

MAX15301EVKITHP#

Maxim Integrated

KIT EVALUATION MAX15301

16

MAX9260EVKIT+

MAX9260EVKIT+

Maxim Integrated

KIT EVAL FOR MAX9260

5

MAX22515EVKIT#

MAX22515EVKIT#

Maxim Integrated

EVAL MAX22515 TX SENSOR

313

MAX15095AEVKIT#

MAX15095AEVKIT#

Maxim Integrated

EVAL MAX15095 HOT SWAP

297

MAX14932EWEVKIT#

MAX14932EWEVKIT#

Maxim Integrated

EVAL KIT FOR MAX14932

4

MAXREFDES43#

MAXREFDES43#

Maxim Integrated

KIT REF DES I2C SHA-256 AUTH DES

11

Evaluation and Demonstration Boards and Kits

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.

TypeFunctional FeaturesApplication Examples
Microcontroller Development BoardsEmbedded CPUs, GPIOs, integrated peripheralsIoT devices, robotics
FPGA Evaluation BoardsReconfigurable logic, high-speed interfacesCommunication systems, AI accelerators
Sensor Expansion KitsMulti-sensor integration (temperature, motion, etc.)Smart agriculture, environmental monitoring
Wireless Communication ModulesBluetooth/Wi-Fi/LoRa protocols, antenna interfacesConnected 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.

ParameterDescription
Processor Performance (MHz/GHz)Determines computational capability
Memory Capacity (RAM/Flash)Affects program complexity and data storage
Interface TypesDictates 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

ManufacturerRepresentative Products
STMicroelectronicsSTM32 Nucleo Series, SensorTile Kit
IntelIntel Edison, Movidius Neural Compute Stick
XilinxZynq UltraScale+ MPSoC Evaluation Kit
ArduinoArduino 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)

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