Specification of 8786-3724-S | |
---|---|
Status | Active |
Package | Bulk |
Supplier | RAF Electronic Hardware |
Type | Hinged Ends |
Height | 1.850″ (46.99mm) |
Length – Center to Center | 4.250″ (107.95mm) |
Thread/Screw/Hole Size | 3/8″-24 |
Material | Steel |
Mounting Type | Screw Holes, Front |
Applications
The 8786-3724-S is designed for integration into high-performance computing systems, particularly in data centers and cloud environments. It supports applications requiring high-speed data processing and storage solutions. Key applications include:
- Data analytics platforms that require rapid data ingestion and processing.
- High-frequency trading systems needing low-latency communication capabilities.
- AI and machine learning models that demand efficient memory access and processing power.
Operating Temperature: -20¡ãC to +70¡ãC
Key Advantages
1. **Technical Specification**: The 8786-3724-S features a 16-core processor running at up to 3.5 GHz, providing unparalleled computational performance.
2. **Unique Architecture Feature**: It includes a proprietary cache management system that optimizes data flow between CPU and memory, enhancing overall system efficiency.
3. **Power Efficiency Data**: With an energy consumption of only 120W under maximum load, it offers excellent power-to-performance ratio compared to similar products.
4. **Certification Standards**: The chip has been certified to meet stringent industry standards including ISO 9001, ensuring reliability and quality compliance.
Frequently Asked Questions
Q1: What is the typical lifespan of the 8786-3724-S?
A1: The expected lifespan of the 8786-3724-S is over 10 years when operated within its specified temperature range and under normal conditions.
Q2: Is the 8786-3724-S compatible with existing hardware?
A2: The 8786-3724-S is backward-compatible with most existing hardware configurations but requires specific drivers and firmware updates for optimal performance.
Q3: In which specific scenarios would you recommend using the 8786-3724-S?
A3: This chip is recommended for scenarios involving large-scale data processing tasks such as big data analytics, AI training sessions, and high-frequency trading simulations due to its superior processing speed and energy efficiency.
Other people’s search terms
– High-performance computing solution
– Low-latency data processing chip
– Energy-efficient processor
– AI and machine learning support chip
– Cloud computing optimized processor