Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
LM5069EVAL/NOPB

LM5069EVAL/NOPB

Texas Instruments

BOARD EVALUATION LM5069

31

DRV2625EVM-CT

DRV2625EVM-CT

Texas Instruments

EVALUATION MODULE

31

BQ27220EVM-744

BQ27220EVM-744

Texas Instruments

EVALUATION MODULE FOR SYSTEM-SID

2

BQ24130EVM

BQ24130EVM

Texas Instruments

EVAL MODULE FOR BQ24130

2

TPS24740EVM-596

TPS24740EVM-596

Texas Instruments

IC CTRLR HOT SWAP 2.5-18V 16QFN

3

DRV8601ZQVEVM

DRV8601ZQVEVM

Texas Instruments

EVAL MODULE FOR DRV8601ZQV

5

BQ24105EVM

BQ24105EVM

Texas Instruments

EVALUATION MODULE FOR BQ24105

6

TPS22953EVM

TPS22953EVM

Texas Instruments

EVAL MOD TPS22953 LOAD SWITCH

2

LMH1982SQEEVAL/NOPB

LMH1982SQEEVAL/NOPB

Texas Instruments

EVAL BOARD FOR LMH1982SQE

1

BQ25910EVM-854

BQ25910EVM-854

Texas Instruments

EVALUATION MODULE

1

BQ24192IEVM-021

BQ24192IEVM-021

Texas Instruments

EVALUATION MODULE FOR BQ2419

1

TMDSCSK8127

TMDSCSK8127

Texas Instruments

EVAL MODULE

2

TPD4E1U06DBVEVM

TPD4E1U06DBVEVM

Texas Instruments

EVAL MODULE FOR TPD4E1U06DBV

5

TSW3065EVM

TSW3065EVM

Texas Instruments

EVAL STANDALONE LOCAL OSCILLATOR

3

TCAN332EVM

TCAN332EVM

Texas Instruments

TCAN33X DUAL SITE INDUSTRIAL CAN

11

BQ24172EVM-706-15V

BQ24172EVM-706-15V

Texas Instruments

EVAL MODULE FOR BQ24172-706 15V

6

TUSB1002AEVM

TUSB1002AEVM

Texas Instruments

EVAL MODULE FOR TUSB1002

3

DLP3010EVM-LC

DLP3010EVM-LC

Texas Instruments

DEVELOPMENT SPECIALIZED

6

SN75LVCP601EVM

SN75LVCP601EVM

Texas Instruments

EVAL MODULE SN75LVCP601

1

ISO154XEVM

ISO154XEVM

Texas Instruments

EVAL MODULE FOR ISO154X

5

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)

RFQ BOM Call Skype Email
Top