Specification of XCF16PFSG48C | |
---|---|
Status | Obsolete |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Programmable Type | In System Programmable |
Memory Size | 16Mb |
Voltage – Supply | 1.65V ~ 2V |
Operating Temperature | -40C ~ 85C |
Mounting Type | Surface Mount |
Package / Case | 48-TFBGA, CSPBGA |
Supplier Device Package | 48-CSP (8×9) |
Applications
The XCF16PFSG48C 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 Center Infrastructure Management Systems: The XCF16PFSG48C enhances the performance of systems managing large-scale data centers.
- Cloud Computing Services: Ideal for virtual machines and containers that require robust I/O capabilities.
- High-Performance Computing: Supports complex simulations and modeling tasks efficiently.
Operating Temperature: -20°C to +70°C
Key Advantages
1. **Technical Specification:** The XCF16PFSG48C operates at up to 48V DC, providing high power density suitable for dense server deployments.
2. **Unique Architecture Feature:** Incorporates a patented cooling technology that reduces heat dissipation significantly compared to traditional designs.
3. **Power Efficiency Data:** Achieves an energy efficiency rating of 92% under typical load conditions.
4. **Certification Standards:** Meets stringent safety and reliability standards including UL, CE, and FCC certifications.
Frequently Asked Questions
Q1: What is the maximum power consumption of the XCF16PFSG48C?
A1: The maximum power consumption is 160W at 48V DC.
Q2: Is the XCF16PFSG48C compatible with existing infrastructure?
A2: Yes, it is backward-compatible with most current infrastructure but requires careful planning during installation to ensure seamless integration.
Q3: In which specific scenarios would you recommend using the XCF16PFSG48C?
A3: The XCF16PFSG48C is recommended for scenarios involving large-scale data processing, such as big data analytics, machine learning models training, and high-frequency trading systems.
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