Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
MAX3520EVKIT#

MAX3520EVKIT#

Maxim Integrated

EVAL KIT MAX3520

0

MAX77840EVKIT#

MAX77840EVKIT#

Maxim Integrated

EVKIT FOR INTERFACE PMIC FOR SMA

0

MAX16125EVKIT#

MAX16125EVKIT#

Maxim Integrated

EVKIT FOR MAX16125 DUAL PUSHBUTT

9

71M6511-DB

71M6511-DB

Maxim Integrated

BOARD DEMO 71M6511 ENERGY METER

1

MAX5395LEVKIT#

MAX5395LEVKIT#

Maxim Integrated

EV KIT FOR MAX5395 256 STEP SING

6

MAX14933SEVKIT#

MAX14933SEVKIT#

Maxim Integrated

EVAL KIT FOR MAX14933

0

MAX5992AEVKIT#

MAX5992AEVKIT#

Maxim Integrated

EVAL MAX5992 POE CTRLR

120

MAX6643LBEVKIT

MAX6643LBEVKIT

Maxim Integrated

EVAL KIT MAX6643/MAX6644 (AUTOMA

7

MAX44269EVKIT#

MAX44269EVKIT#

Maxim Integrated

EVAL KIT MAX44269 (1.3MM X 1.3MM

7

MAX20095EVKIT#

MAX20095EVKIT#

Maxim Integrated

AUTOMOTIVE BACKUP BATTERY CHARGE

10

MAX1454EVSYS#

MAX1454EVSYS#

Maxim Integrated

EVAL BOARD FOR MAX1454

5

MAX20305EVKIT#

MAX20305EVKIT#

Maxim Integrated

EVKIT FOR HIGH VOLTAGE BACK TO B

7

MAX3518EVKIT+

MAX3518EVKIT+

Maxim Integrated

KIT EVAL FOR MAX3518

5

MAX77751FEVKIT#

MAX77751FEVKIT#

Maxim Integrated

MAX77751 EVALUATION KIT

516

MAX9650EVKIT+

MAX9650EVKIT+

Maxim Integrated

EVALUATION KIT FOR MAX9650

9

MAX5478EVKIT

MAX5478EVKIT

Maxim Integrated

EVAL KIT/SYSTEM MAX5477, MAX5478

11

MAX9063EVKIT+

MAX9063EVKIT+

Maxim Integrated

KIT EVAL FOR MAX9063

9

MAX14575CEVKIT#

MAX14575CEVKIT#

Maxim Integrated

EVAL BOARD FOR MAX14575

10

MAX14630EVKIT#

MAX14630EVKIT#

Maxim Integrated

EVAL KIT MAX14630 (USB HOST ADAP

8

MAX8808EVKIT

MAX8808EVKIT

Maxim Integrated

EVAL KIT MAX8808 (1A LINEAR LI+

9

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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