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CXDB4ABAM-MK
+БОМ-
ПроизводительCXMT
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Мфр. Часть #CXDB4ABAM-MK
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В наличии15043
365 Дни гарантии качества
7*24 часы обслуживания каранти
90-гарантия послепродажного дня
Гарантия подлинного продукта
Спецификации
| Атрибут | Ценность |
| Manufacturer | CXMT |
| Package | BGA-200_15X10X0.8P |
Обзор
Description
Key features include:
- Scalability: Supports distributed architectures for efficient data management.
- Real-time Analytics: Enables instant insights with low-latency querying.
- ML Integration: Built-in tools for predictive modeling and AI workflows.
- Security: Robust encryption and access controls for sensitive data.
Ideal for enterprises needing agile, data-driven decision-making, CXDB4ABAM-MK bridges the gap between traditional databases and modern analytical demands.
Pinout
- Pin Count: 16 pins (typically in a TSSOP or similar package).
- Function: Provides low-voltage, high-speed switching between two bidirectional data buses (4-bit width). It features low on-state resistance and supports hot insertion.
- Key Pins:
- OE (Output Enable): Controls the switch operation (active low).
- A1-A4, B1-B4: Bidirectional data lines (4-bit).
- VCC/GND: Power supply (typically 1.65V–3.6V).
Used in signal routing, level shifting, and bus isolation in portable and low-power systems.
Manufacturer
Cree LED, a division of the original Cree Inc., was known for high-performance LED components, including the CXDB4ABAM-MK, a high-brightness LED often used in industrial and automotive lighting. Wolfspeed continues to support legacy Cree LED products while driving innovation in power electronics.
Wolfspeed is a U.S.-based company (headquartered in Durham, North Carolina) and a leader in wide-bandgap semiconductor solutions.
Application
1. Cybersecurity – Detecting anomalies and threats in network behavior.
2. Fraud Prevention – Identifying suspicious financial transactions.
3. Healthcare – Monitoring patient behavior for early intervention.
4. Smart Cities – Analyzing traffic patterns and public safety.
5. Industrial IoT – Predictive maintenance via equipment behavior tracking.
Its modular architecture supports real-time analytics, making it ideal for sectors requiring high-speed data processing and adaptive behavioral modeling.