| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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MaxLinear |
EVAL BOARD FOR XR33194 |
2 |
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MaxLinear |
EVAL BOARD SP510EEF |
0 |
|
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MaxLinear |
EVAL BOARD SUPPORTS B1424 64 LQF |
0 |
|
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MaxLinear |
EVAL BOARD LVPECL OUTPUT CLOCK 8 |
0 |
|
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MaxLinear |
EVAL BOARD FOR XR17V358-E4 |
0 |
|
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MaxLinear |
EVAL BOARD XRA1206 16 TSSOP, I2C |
0 |
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MaxLinear |
EVAL BOARD FOR XR21B1421IL24 |
0 |
|
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MaxLinear |
TRANSCEIVER MULTIPROTOCOL RUGGED |
0 |
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MaxLinear |
EVAL BOARD |
0 |
|
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MaxLinear |
EVAL BOARD FOR XR33052H |
4 |
|
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MaxLinear |
EVAL BOARD FOR XR17V354-E4 |
0 |
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MaxLinear |
EVAL BOARD XRA1202 16 QFN, I2C I |
0 |
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MaxLinear |
EVAL BOARD FOR XR33055I |
4 |
|
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MaxLinear |
EVAL BOARD XRA1201P 24 TSSOP, I2 |
0 |
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MaxLinear |
USB BOARD FOR EVAL OF XR15715 |
0 |
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MaxLinear |
EVAL BOARD XRA1201P 24 QFN, I2C |
0 |
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MaxLinear |
EVAL BOARD |
0 |
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MaxLinear |
EVAL BOARD XRA1207 24 QFN, I2C I |
0 |
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MaxLinear |
EVAL BOARD FOR XR33195 |
2 |
|
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MaxLinear |
EVAL BOARD XRA1201 24 QFN, I2C I |
0 |
|
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)