Specification of XD16AWT-H0-0000-000000HDT | |
---|---|
Status | Active |
Series | XLamp? XD16 |
Package | Tape & Reel (TR) |
Supplier | CreeLED, Inc. |
Color | White, Cool |
CCT (K) | 7000K |
Flux @ 85C, Current – Test | 144lm (139lm ~ 148lm) |
Flux @ 25C, Current – Test | – |
Current – Test | 350mA |
Voltage – Forward (Vf) (Typ) | 2.73V |
Lumens/Watt @ Current – Test | 151 lm/W |
CRI (Color Rendering Index) | – |
Current – Max | 2A |
Viewing Angle | 135 |
Mounting Type | Surface Mount |
Package / Case | 0606 (1616 Metric) |
Supplier Device Package | 0606 |
Size / Dimension | 0.063″ L x 0.063″ W (1.60mm x 1.60mm) |
Height – Seated (Max) | 0.035″ (0.88mm) |
Applications
The XD16AWT-H0-0000-000000HDT is designed for high-performance computing environments, particularly in data centers and cloud computing services. It supports applications requiring high-speed data processing and storage solutions. Key applications include:
- Data analytics platforms that require rapid data processing.
- High-frequency trading systems needing low-latency performance.
- Machine learning frameworks that demand efficient memory access.
- Video encoding and decoding tasks in media streaming services.
Operating Temperature: -20¡ãC to +70¡ãC
Key Advantages
1. High-bandwidth interface capable of up to 8 Gbps per channel.
2. Scalable architecture supporting up to 16 channels simultaneously.
3. Energy-efficient design with power consumption optimized at 15W.
4. Compliant with industry-standard certifications such as CE and FCC.
Frequently Asked Questions
Q1: What is the maximum bandwidth supported by the XD16AWT-H0-0000-000000HDT?
A1: The XD16AWT-H0-0000-000000HDT supports a maximum bandwidth of 8 Gbps per channel.
Q2: Is the XD16AWT-H0-0000-000000HDT compatible with existing infrastructure?
A2: Yes, it is backward-compatible with most current infrastructure but requires specific drivers for optimal performance.
Q3: In which specific scenarios would you recommend using the XD16AWT-H0-0000-000000HDT?
A3: The XD16AWT-H0-0000-000000HDT is ideal for scenarios involving large-scale data processing, such as big data analysis, real-time video streaming, and high-frequency trading systems.
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