| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Texas Instruments |
POWER MANAGEMENT IC |
5 |
|
 |
Texas Instruments |
BOARD EVALUATION FOR LMH2180 |
2 |
|
 |
Texas Instruments |
EVAL MOD FOR THS6012 |
2 |
|
 |
Texas Instruments |
EVAL BOARD FOR ISO5852S |
4 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS22964C |
4 |
|
 |
Texas Instruments |
DEVELOPMENT POWER MANAGEMENT |
3 |
|
 |
Texas Instruments |
EVAL MODULE FOR TSU3721 |
4 |
|
 |
Texas Instruments |
EVAL MODULE FOR BQ34Z100 |
23 |
|
 |
Texas Instruments |
BOARD EVAL FOR LMX25315870 |
8 |
|
 |
Texas Instruments |
EVALUATION MODULE ISO7341 |
1 |
|
 |
Texas Instruments |
EVAL MODULE FOR LMP93601 |
2 |
|
 |
Texas Instruments |
TSC2004EVM-PDK |
7 |
|
 |
Texas Instruments |
EVAL BOARD FOR TCA8418E |
5 |
|
 |
Texas Instruments |
TPS2388EVM-612 |
3 |
|
 |
Texas Instruments |
MODULE EVAL FOR DS90UB926QS |
0 |
|
 |
Texas Instruments |
EVAL MODULE FOR TLK10002 |
1 |
|
 |
Texas Instruments |
EVAL MODULE FOR TLV320DAC3100 |
6 |
|
 |
Texas Instruments |
EVAL MODULE FOR PGA2505 |
1 |
|
 |
Texas Instruments |
TPS23734 EVALUATION MODULE FOR I |
2 |
|
 |
Texas Instruments |
EVAL MODULE FOR BQ76PL536 |
8 |
|
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.
| Type | Functional Features | Application Examples |
|---|---|---|
| Microcontroller Development Boards | Embedded CPUs, GPIOs, integrated peripherals | IoT devices, robotics |
| FPGA Evaluation Boards | Reconfigurable logic, high-speed interfaces | Communication systems, AI accelerators |
| Sensor Expansion Kits | Multi-sensor integration (temperature, motion, etc.) | Smart agriculture, environmental monitoring |
| Wireless Communication Modules | Bluetooth/Wi-Fi/LoRa protocols, antenna interfaces | Connected 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.
| Parameter | Description |
|---|---|
| Processor Performance (MHz/GHz) | Determines computational capability |
| Memory Capacity (RAM/Flash) | Affects program complexity and data storage |
| Interface Types | Dictates 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
| Manufacturer | Representative Products |
|---|---|
| STMicroelectronics | STM32 Nucleo Series, SensorTile Kit |
| Intel | Intel Edison, Movidius Neural Compute Stick |
| Xilinx | Zynq UltraScale+ MPSoC Evaluation Kit |
| Arduino | Arduino 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)