Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TPS65290BMEVM

TPS65290BMEVM

Texas Instruments

EVAL MODULE FOR TPS65290

1

TS3A227E-EVM

TS3A227E-EVM

Texas Instruments

EVALUATION MODULE TS3A227E

1

BQ25898CEVM-730

BQ25898CEVM-730

Texas Instruments

COMPLETE CHARGER EVALUATION MODU

1

BQ76930EVM

BQ76930EVM

Texas Instruments

EVAL MODULE FOR BQ76930

6

TPS1H000EVM

TPS1H000EVM

Texas Instruments

EVALUATION MODULE

3

TPS259250-61EVM

TPS259250-61EVM

Texas Instruments

EVALUATION MODULE TPS259250

2

DRV8873H-Q1EVM

DRV8873H-Q1EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

9

LMX25312820EVAL/NOPB

LMX25312820EVAL/NOPB

Texas Instruments

BOARD EVAL FOR LMX25312820

1

ADS1292ECG-FE

ADS1292ECG-FE

Texas Instruments

KIT DEMO FOR ADS1292

6

DRV8301-HC-C2-KIT

DRV8301-HC-C2-KIT

Texas Instruments

KIT EVAL PREDRIVER MOTR CTRL 3PH

11

DLPLCR4500EVM

DLPLCR4500EVM

Texas Instruments

DLP LIGHTCRAFTER 4500

24

LM74700DDFEVM

LM74700DDFEVM

Texas Instruments

LM74700-Q1 3.2-V TO 65-V, 80-A I

3

TPS2595EVM

TPS2595EVM

Texas Instruments

TPS2595EVM

544

LMH7324EVAL/NOPB

LMH7324EVAL/NOPB

Texas Instruments

EVAL BOARD FOR LMH7324

2

LMK04805BEVAL/NOPB

LMK04805BEVAL/NOPB

Texas Instruments

BOARD EVAL FOR LMK04805B

3

TPS2064CDGNEVM-015

TPS2064CDGNEVM-015

Texas Instruments

EVAL MODULE FOR TPS2064CDGN-015

5

TPS22965NEVM-023

TPS22965NEVM-023

Texas Instruments

EVAL BOARD FOR TPS22965N

1

INA216EVM

INA216EVM

Texas Instruments

EVAL MODULE FOR INA216

4

LMK04208EVM

LMK04208EVM

Texas Instruments

EVAL BOARD FOR LMK04208

1

BQ24316EVM

BQ24316EVM

Texas Instruments

EVAL MODULE FOR BQ24316

1

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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