Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
KITVR5100FRDMEVM

KITVR5100FRDMEVM

NXP Semiconductors

EVALUATION KIT - VR5100 EVALUAT

0

FRDMGD31ECNEVM

FRDMGD31ECNEVM

NXP Semiconductors

GD3100 HALF-BRIDGE EVAL KIT

10

TEA1998DB1453UL

TEA1998DB1453UL

NXP Semiconductors

TEA1998 DEMOBOARD 1453

0

SP05127-02UL

SP05127-02UL

NXP Semiconductors

SP05127-02

0

UJA1163A-EVB

UJA1163A-EVB

NXP Semiconductors

UJA1163A EVAL BOARD

1

KIT25XS6300EKEVB

KIT25XS6300EKEVB

NXP Semiconductors

EVALUATION KIT - MC25XS6300 12

0

KIT06XS3517EVBE

KIT06XS3517EVBE

NXP Semiconductors

EVALUATION KIT - MC06XS3517 SMA

0

OM13485UL

OM13485UL

NXP Semiconductors

DEMO BOARD NVT4555UK W/ I2C CNTR

0

KIT33982CEVBE

KIT33982CEVBE

NXP Semiconductors

KIT EVAL 33982 HIGH SIDE SWITCH

0

KIT10XS4200EVBE

KIT10XS4200EVBE

NXP Semiconductors

EVALUATION KIT - MC10XS4200 DUA

0

KIT10XS6200EKEVB

KIT10XS6200EKEVB

NXP Semiconductors

EVALUATION KIT - MC10XS6200 12

0

KIT33800EKEVME

KIT33800EKEVME

NXP Semiconductors

BOARD EVAL FOR MC33800

0

OM13503UL

OM13503UL

NXP Semiconductors

PCA8539 LCD DEMO BOARD

14

KIT33664EVB

KIT33664EVB

NXP Semiconductors

EVAL KIT MC33664 ISO NTWK TXRX

0

FRDM-34933EVB

FRDM-34933EVB

NXP Semiconductors

FRDM-34933EVB

0

KITPF50203RDMEVM

KITPF50203RDMEVM

NXP Semiconductors

KITPF50203RDMEVM

0

OM13585UL

OM13585UL

NXP Semiconductors

PTN5110 HOST DEMO BOARD

0

KITLIGHTEVB

KITLIGHTEVB

NXP Semiconductors

EVAL KIT EXTREME SW LIGHT BOARD

0

OM13517UL

OM13517UL

NXP Semiconductors

PCA21125 DEMOBOARD

0

RDDRONE-BMS772

RDDRONE-BMS772

NXP Semiconductors

BMS772 DRONE BATT DEV KIT

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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