Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
EVAL-L9945

EVAL-L9945

STMicroelectronics

L9945 SMART POWER EVAL BOARD

2

XR21V1410IL-0C-EB

XR21V1410IL-0C-EB

MaxLinear

EVAL BOARD FOR XR21V1410IL

33

YLCDRX63NE

YLCDRX63NE

Renesas Electronics America

DEV KIT LCD TOUCHSCREEN

2

MAX2202XEVKIT#

MAX2202XEVKIT#

Maxim Integrated

EV KIT FOR COMPACT, ISOLATED HAL

314

PCM2906CEVM-U

PCM2906CEVM-U

Texas Instruments

EVAL MODULE FOR PCM2906C-U

3

MAXREFDES39#

MAXREFDES39#

Maxim Integrated

REF DESIGN PA BIASING/MONITORING

10

AD9510/PCBZ

AD9510/PCBZ

Analog Devices, Inc.

BOARD EVALUATION FOR AD9510

1

MIKROE-259

MIKROE-259

MikroElektronika

BOARD TRANSLATOR 5V-3.3V

2

STEVAL-IPMNM1N

STEVAL-IPMNM1N

STMicroelectronics

MOTOR CONTROL POWER BOARD BASED

10

TMDSILPFCKIT

TMDSILPFCKIT

Texas Instruments

KIT DEV PFC C2000

3

CBC-EVAL-14-PMRTC-41

CBC-EVAL-14-PMRTC-41

Cymbet

ENERCHIP PMRTC EVAL KIT 4.1V CHG

3

BQ24196EVM-021

BQ24196EVM-021

Texas Instruments

EVALUATION MODULE FOR BQ2419

1

123585-HMC859LC3

123585-HMC859LC3

Analog Devices, Inc.

EVAL BOARD HMC859LC3

0

TPS27S100BEVM

TPS27S100BEVM

Texas Instruments

TPS27S100BEVM

3

EVAL6227QR

EVAL6227QR

STMicroelectronics

EVAL BOARD FOR L6227Q

0

DC1926A

DC1926A

Analog Devices, Inc.

BOARD EVAL FOR LTC4353

2

DEV-13955

DEV-13955

SparkFun

OPENLOG WITH HEADERS

517

TPS259230-41EVM

TPS259230-41EVM

Texas Instruments

EVALUATION MODULE TPS259230

4

DC2156A

DC2156A

Analog Devices, Inc.

DEMO BOARD MS LTC2946 I2C EN MON

10

BM6206FS-EVK-001

BM6206FS-EVK-001

ROHM Semiconductor

EVAL BOARD FOR THE BM6206FS-E2

3

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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