Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TPS2554EVM-010

TPS2554EVM-010

Texas Instruments

EVAL MODULE FOR TPS2554-010

10

LMK04033BEVAL/NOPB

LMK04033BEVAL/NOPB

Texas Instruments

BOARD EVALUATION LMK04033

1

MUX36S08EVM-PDK

MUX36S08EVM-PDK

Texas Instruments

MUX36S08 EVALUATION MODULE

5

BQ24314EVM

BQ24314EVM

Texas Instruments

EVAL MODULE FOR BQ24314

1

DS42BR400-EVK

DS42BR400-EVK

Texas Instruments

BOARD EVALUATION DS42BR400

2

ISO723X724XEVM

ISO723X724XEVM

Texas Instruments

EVAL MODULE FOR ISO723X724X

3

TPS99110EVM

TPS99110EVM

Texas Instruments

EVALUATION MODULE TPS99110

3

BQ21061EVM

BQ21061EVM

Texas Instruments

EVAL BOARD

3

DP83848T-MAU-EK

DP83848T-MAU-EK

Texas Instruments

BOARD EVALUATION DP83848T

1

TPS65252EVM

TPS65252EVM

Texas Instruments

EVAL MODULE FOR TPS65252

2

TPS22959EVM-079

TPS22959EVM-079

Texas Instruments

EVAL BOARD FOR TPS22959

32

TPD1S514-3EVM

TPD1S514-3EVM

Texas Instruments

EVAL MODULE FOR TPD1S514

4

DS90UB925QSEVB/NOPB

DS90UB925QSEVB/NOPB

Texas Instruments

MODULE EVAL FOR DS90UB925QS

2

BQ24314EVM-251

BQ24314EVM-251

Texas Instruments

EVAL MODULE FOR BQ24314-251

2

DS90UB914A-CXEVM

DS90UB914A-CXEVM

Texas Instruments

EVAL MODULE FOR DS90UB914A

4

BQ27411EVM-G1C

BQ27411EVM-G1C

Texas Instruments

EVAL MODULE FOR BQ27411

1

UCC27531EVM-184

UCC27531EVM-184

Texas Instruments

EVALUATION BOARD FOR UCC27531

4

TPS2024EVM-290

TPS2024EVM-290

Texas Instruments

EVAL MODULE FOR TPS2024-290

1

PPC3-EVM-MB

PPC3-EVM-MB

Texas Instruments

DEVELOPMENT AMPLIFIER

1

TLV320AIC3110EVM-U

TLV320AIC3110EVM-U

Texas Instruments

EVAL MODULE FOR TLV320AIC3110

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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