Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
KIT33816AEEVM

KIT33816AEEVM

NXP Semiconductors

MODULE 33816 ENGINE CONTROL

0

OM15031Z

OM15031Z

NXP Semiconductors

BOARD LIGHTING DVR SLN61

0

MXC9DDRLA-MEMB

MXC9DDRLA-MEMB

NXP Semiconductors

BOARD ZAS DDR

0

OM15033Z

OM15033Z

NXP Semiconductors

BOARD LIGHTING DVR SLN63

0

P304G003A4/T0CD105

P304G003A4/T0CD105

NXP Semiconductors

BOARD DEV SYS SMART EID PLLMC

0

D12 ISA PC EVAL KIT

D12 ISA PC EVAL KIT

NXP Semiconductors

EVAL KIT FOR PDIUSBD12 USB EPP

0

KIT33742DWEVB

KIT33742DWEVB

NXP Semiconductors

KIT FOR 33742 SBC WITH EHSCAN

0

OM15038Z

OM15038Z

NXP Semiconductors

DEMO LEEDARSON REM JN5168

0

KIT908E624DWBEVB

KIT908E624DWBEVB

NXP Semiconductors

KIT EVAL 908E624 TRPL W/MCU/LIN

0

KIT33991DWEVM

KIT33991DWEVM

NXP Semiconductors

KIT EVAL FOR MC33991 GAUGE DRVR

0

P1020RDB-PB

P1020RDB-PB

NXP Semiconductors

BOARD REF DESIGN 6 PORT ETHER

0

P304G003A6/T0CD10J

P304G003A6/T0CD10J

NXP Semiconductors

BOARD DEV SYS SMART EID PLLMC

0

KIT33771TPLEVB

KIT33771TPLEVB

NXP Semiconductors

EVALUATION KIT MC33771 BATTERY

0

WPR1500-BUCK

WPR1500-BUCK

NXP Semiconductors

BOARD RECEIVER REF PLATFORM BUCK

0

OM6292

OM6292

NXP Semiconductors

DEMO BOARD PCA2125 RTC

0

KIT33794EKEVM

KIT33794EKEVM

NXP Semiconductors

KIT EVALUATION HARDWARE 33794

0

DEMOFLEXISJMSD

DEMOFLEXISJMSD

NXP Semiconductors

CARD READER M9S08JM60

0

MXC9ATLAS-PMB

MXC9ATLAS-PMB

NXP Semiconductors

BOARD ATLAS PM

0

OM15040Z

OM15040Z

NXP Semiconductors

IOT CLIMATE CONTROL DEMO

0

KIT33689DWBEVB

KIT33689DWBEVB

NXP Semiconductors

KIT FOR 33689 SBC WITH LIN

0

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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