| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
 |
Texas Instruments |
EVAL BOARD FOR LMK61PD0A2 |
7 |
|
 |
Texas Instruments |
USB RE-DRIVER EVALUATION MODULE |
22 |
|
 |
Texas Instruments |
BOARD EVALUATION DS25MB200 |
3 |
|
 |
Texas Instruments |
EVAL BOARD FOR BQ35100 |
6 |
|
 |
Texas Instruments |
EVAL MODULE FOR TPS2553DBV1-364 |
3 |
|
 |
Texas Instruments |
KIT EVAL DEMO FOR TLV320DAC32 |
3 |
|
 |
Texas Instruments |
EVAL MOD PERFORMANCE FOR CDCE949 |
1 |
|
 |
Texas Instruments |
TPS25865-Q1 DUAL 3-A USB TYPE-A |
1 |
|
 |
Texas Instruments |
EVAL BOARD FOR TPS25921 |
1 |
|
 |
Texas Instruments |
EVAL MODULE FOR CDCLVC1310 |
3 |
|
 |
Texas Instruments |
EVAL MODULE FOR UCC28070 |
2 |
|
 |
Texas Instruments |
EVAL BOARD FOR TPS22963 |
4 |
|
 |
Texas Instruments |
EVAL BOARD FOR LMX25312265 |
1 |
|
 |
Texas Instruments |
BOARD EVALUATION FOR LMH1981MT |
4 |
|
 |
Texas Instruments |
EVAL MODULE FOR TUSB564 |
2 |
|
 |
Texas Instruments |
BOARD EVAL FOR LM5066 |
2 |
|
 |
Texas Instruments |
EVAL MODULE FOR CDCM6208V2 |
2 |
|
 |
Texas Instruments |
KIT DEV ISO SOLAR MPPT HV |
25 |
|
 |
Texas Instruments |
EVAL MODULE FOR CDCE421A |
2 |
|
 |
Texas Instruments |
EVALUATION MODULE FOR BQ25010 |
6 |
|
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)