Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
BQ24620EVM

BQ24620EVM

Texas Instruments

EVAL MODULE FOR BQ24620

1

CDCLVP1208EVM

CDCLVP1208EVM

Texas Instruments

EVAL MODULE FOR CDCLVP1208

2

SCAN90CP02EVK/NOPB

SCAN90CP02EVK/NOPB

Texas Instruments

BOARD EVALUATION SCAN90CP02

1

TPS22919EVM

TPS22919EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

20

BQ24296EVM-021

BQ24296EVM-021

Texas Instruments

EVAL BOARD BATT CHARGER BQ24296

1

ISO35TEVM

ISO35TEVM

Texas Instruments

EVAL MODULE FOR ISO35T

1

LMX25412060EVAL/NOPB

LMX25412060EVAL/NOPB

Texas Instruments

EVAL BOARD FOR LMX25412060

2

TDC7200EVM

TDC7200EVM

Texas Instruments

EVAL BOARD FOR TDC7200

12

LMK05318BEVM

LMK05318BEVM

Texas Instruments

LMK05318B NETWORK SYNCHRONIZER C

3

AMC7832EVM

AMC7832EVM

Texas Instruments

EVAL BOARD ADC.DAC MON/CTRL

1

THS7368EVM

THS7368EVM

Texas Instruments

EVAL MODULE FOR THS7368

1

TPS22990EVM

TPS22990EVM

Texas Instruments

EVALUATION MODULE

4

LM5064EVK/NOPB

LM5064EVK/NOPB

Texas Instruments

BOARD EVAL FOR LM5064

1

DRV2604LEVM-CT

DRV2604LEVM-CT

Texas Instruments

EVAL BOARD FOR DRV2604L

1

DSLVDS1001-1002EVM

DSLVDS1001-1002EVM

Texas Instruments

DEVELOPMENT INTERFACE

2

TLV320AIC3107EVM-K

TLV320AIC3107EVM-K

Texas Instruments

EVALUATION MOD FOR TLV320AIC3107

0

TPS65217DEVM

TPS65217DEVM

Texas Instruments

EVAL MODULE FOR TPS65217

4

CDCM6100XEVM

CDCM6100XEVM

Texas Instruments

EVAL MODULE FOR CDCM6100X

3

SN65DSI83EVM

SN65DSI83EVM

Texas Instruments

EVALUATION MODULE

6

EVM430-FE4272

EVM430-FE4272

Texas Instruments

EVAL MODULE FOR FE4272

2

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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