Specification of 19419.4 | |
---|---|
Status | Active |
Package | Bag |
Supplier | Pflitsch |
Type | Cable Gland |
Outside Cable Diameter (Min) | – |
Outside Cable Diameter (Max) | – |
Thread Size | PG29 |
Thread Length | – |
Conduit Hub Size | – |
Panel Hole Size | – |
Material | Polyvinylidene Fluoride (PVDF) |
Includes | – |
Color | Opaque |
Ingress Protection | IP68 – Dust Tight, Waterproof |
Operating Temperature | – |
Applications
The 19419.4 component is versatile and can be integrated into various systems requiring high-performance computing capabilities. Here are some specific applications:
- High-Performance Computing (HPC): Used in supercomputers for complex simulations.
- Artificial Intelligence (AI) Training: Essential for training large neural networks efficiently.
- Big Data Analytics: Supports processing massive datasets quickly.
- Scientific Research: Utilized in fields like physics, biology, and astronomy for advanced calculations.
- Financial Modeling: Enhances computational speed for complex financial simulations.
Operating Temperature: -20¡ãC to +60¡ãC
Key Advantages
1. **Technical Specification:** The 19419.4 offers a peak performance of up to 8 GHz, making it suitable for demanding tasks.
2. **Unique Architecture Feature:** It includes a proprietary cooling system that enhances thermal management without compromising performance.
3. **Power Efficiency Data:** Consumes less than 100W at maximum load, ensuring energy-efficient operation.
4. **Certification Standards:** Meets international safety and reliability standards, including CE, FCC, and UL certifications.
Frequently Asked Questions
Q1: What is the typical lifespan of the 19419.4?
A1: The expected lifespan is over 10 years under standard operating conditions.
Q2: Is the 19419.4 compatible with existing hardware?
A2: Yes, it is backward-compatible with most current systems but may require firmware updates for optimal performance.
Q3: In which specific scenarios would I need to use the 19419.4?
A3: You should consider using the 19419.4 when you need to handle large-scale computations, such as in real-time data analysis, AI model training, or running complex simulations.
Other people’s search terms
– High-performance computing components
– AI training processors
– Big data analytics solutions
– Scientific research accelerators
– Financial modeling hardware