| Image | Part Number | Description / PDF | Quantity | Rfq |
|---|---|---|---|---|
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Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW8826-LB3-GR |
0 |
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Intersil (Renesas Electronics America) |
EVAL BOARD FOR ISL98002CRZ |
0 |
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Intersil (Renesas Electronics America) |
EVALUATION BOARD FOR ISL612XSEQ |
0 |
|
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Intersil (Renesas Electronics America) |
EVALUATION BOARD FOR ISL54205B |
0 |
|
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Intersil (Renesas Electronics America) |
EVALUATION BOARD 12V ISL6115 |
0 |
|
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Intersil (Renesas Electronics America) |
BOARD EVALUATION FOR ISL88015 |
0 |
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Intersil (Renesas Electronics America) |
EVAL BOARD FOR ISL59532 |
0 |
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Intersil (Renesas Electronics America) |
EVALUATION BOARD 1 ISL6296 |
0 |
|
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Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW8817-TA3-GRS |
0 |
|
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Intersil (Renesas Electronics America) |
EVAL BOARD 1 FOR ISL6294A |
0 |
|
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Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW2864A-LD1-GR |
0 |
|
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Intersil (Renesas Electronics America) |
EVAL OPERATIONAL AMP |
0 |
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Intersil (Renesas Electronics America) |
EVALUATION BOARD DUAL GENERIC |
0 |
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Intersil (Renesas Electronics America) |
EVAL VIDEO SYNC SEPARATOR |
0 |
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Intersil (Renesas Electronics America) |
EVAL BOARD FOR ISL21060 |
0 |
|
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Intersil (Renesas Electronics America) |
KIT DEV LABVIEW FOR MIXED SIGNAL |
0 |
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Intersil (Renesas Electronics America) |
EVALUATION BOARD NEG HOT SWAP |
0 |
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Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW6816-LA1-GR |
0 |
|
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Intersil (Renesas Electronics America) |
EVALUATION BOARD ACPI HIP6501 |
0 |
|
|
Intersil (Renesas Electronics America) |
EVAL BOARD FOR TW8836-LB2 |
0 |
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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)