Evaluation and Demonstration Boards and Kits

Image Part Number Description / PDF Quantity Rfq
TCA9802EVM

TCA9802EVM

Texas Instruments

EVAL MODULE

6

CDCEL925PERF-EVM

CDCEL925PERF-EVM

Texas Instruments

EVAL MOD PERFORMANCE FOR CDCE925

2

PCM2707EVM-U

PCM2707EVM-U

Texas Instruments

EVAL MODULE FOR PCM2707-USB

2

BQ27GDK000EVM

BQ27GDK000EVM

Texas Instruments

EVAL MODULE FOR BQ27421-G1A

0

TCAN1042DEVM

TCAN1042DEVM

Texas Instruments

TCAN10XX CONTROLLER AREA NETWORK

11

LMK00725EVM

LMK00725EVM

Texas Instruments

EVAL KIT FOR LMK00725

1

TPL5111EVM

TPL5111EVM

Texas Instruments

EVAL MOD TPL5111 SYSTEM TIMER

1

DRV8308EVM

DRV8308EVM

Texas Instruments

MOD EVAL DRV8308 PREDRIVER

10

TPS65910AEVM-583

TPS65910AEVM-583

Texas Instruments

EVAL MODULE FOR TPS65910A

5

ADS1192ECG-FE

ADS1192ECG-FE

Texas Instruments

KIT DEMO FOR ADS1192

6

DRV8353RS-EVM

DRV8353RS-EVM

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

18

BQ24030EVM

BQ24030EVM

Texas Instruments

EVALUATION MODULE FOR BQ24030

3

XIO3130EVM

XIO3130EVM

Texas Instruments

EVAL MODULE FOR XIO3130

0

DRV8801EVM

DRV8801EVM

Texas Instruments

EVAL MODULE FOR DRV8801

4

TPD3S716-Q1EVM

TPD3S716-Q1EVM

Texas Instruments

EVALUATION MODULE

5

CDCS502PERF-EVM

CDCS502PERF-EVM

Texas Instruments

EVAL PERFORMANCE MOD FOR CDCS502

1

SD307EVK/NOPB

SD307EVK/NOPB

Texas Instruments

EVAL BOARD FOR LMH0307

1

BQ40Z80EVM-020

BQ40Z80EVM-020

Texas Instruments

DEVELOPMENT POWER MANAGEMENT

11

SN65LVDS4EVM

SN65LVDS4EVM

Texas Instruments

EVAL MODULE FOR SN65LVDS4

21

DCA1000EVM

DCA1000EVM

Texas Instruments

DEVELOPMENT DATA ACQUISITION

74456

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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