Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
XTR111-2EVM

XTR111-2EVM

Texas Instruments

EVAL MODULE FOR XTR111

9

BQ24083EVM

BQ24083EVM

Texas Instruments

EVAL MODULE FOR BQ24083

1

PGA309EVM-USB

PGA309EVM-USB

Texas Instruments

EVAL MODULE FOR PGA309

11

TLV320AIC3106EVM-K

TLV320AIC3106EVM-K

Texas Instruments

TLV320AIC3106EVM-K

2

TPD1E0B04EVM

TPD1E0B04EVM

Texas Instruments

EVAL BOARD FOR TPD1E0B04

1

PCM1864CMBEVM

PCM1864CMBEVM

Texas Instruments

EVAL MODULE

2

TPS2378EVM-602

TPS2378EVM-602

Texas Instruments

EVAL MOD DUAL TPS2378 4PAIR

1

TPS24772EVM-685

TPS24772EVM-685

Texas Instruments

EVALUATION MODULE TPS24772

1

SP1202S03RB-PCB/NOPB

SP1202S03RB-PCB/NOPB

Texas Instruments

WEBENCH BARE BD PHOTO TIA

1

USB-C-PD-DUO-EVM

USB-C-PD-DUO-EVM

Texas Instruments

DEVELOPMENT INTERFACE

623

ISO5500EVM

ISO5500EVM

Texas Instruments

EVAL MODULE FOR ISO5500

1

DS125DF111EVM

DS125DF111EVM

Texas Instruments

EVAL BOARD 12.5GBPS RETIMER

1

ATL431EVM-001

ATL431EVM-001

Texas Instruments

EVAL MODULE ATL431 SHUNT REG

11

TPS2540EVM-623

TPS2540EVM-623

Texas Instruments

EVAL MODULE FOR TPS2540-623

10

BQ500215EVM-648

BQ500215EVM-648

Texas Instruments

EVAL BOARD FOR BQ500215

0

BQ27411EVM-G1A

BQ27411EVM-G1A

Texas Instruments

EVAL MODULE FOR BQ27411

2

TLV320AIC3120EVM-U

TLV320AIC3120EVM-U

Texas Instruments

EVAL MODULE FOR TLV320AIC3120

6

UCD3138CC64EVM-030

UCD3138CC64EVM-030

Texas Instruments

EVAL MODULE CC FOR UCD3138-030

3

BQ2022AEVM-001

BQ2022AEVM-001

Texas Instruments

EVAL MODULE FOR BQ2022A-001

1

LM2758TLEV

LM2758TLEV

Texas Instruments

BOARD EVALUATION FOR LM2758TL

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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