Specification of XCS40-4PQ208C | |
---|---|
Status | Obsolete |
Series | Spartan? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 784 |
Number of Logic Elements/Cells | 1862 |
Total RAM Bits | 25088 |
Number of I/O | 169 |
Number of Gates | 40000 |
Voltage – Supply | 4.75V ~ 5.25V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 208-BFQFP |
Supplier Device Package | 208-PQFP (28×28) |
Applications
The XCS40-4PQ208C is ideal for high-performance computing environments, particularly in data centers where it supports large-scale parallel processing tasks. It excels in scientific research facilities, handling complex simulations and analysis that require significant computational power. Additionally, it is suitable for financial institutions conducting high-frequency trading algorithms, where its robust performance ensures minimal latency.
Key Advantages
1. High clock speed up to 3.6 GHz, providing superior processing capabilities.
2. Advanced cooling technology ensuring efficient heat dissipation even under heavy loads.
3. Energy-efficient design with a TDP of only 95W, reducing operational costs.
4. Compliance with multiple certification standards including EPEAT Gold and RoHS.
Frequently Asked Questions
Q1: Can the XCS40-4PQ208C handle high temperatures?
A1: Yes, it operates efficiently within a wide range of temperatures from -20¡ãC to +70¡ãC, making it suitable for various environmental conditions.
Q2: Is the XCS40-4PQ208C compatible with existing systems?
A2: The XCS40-4PQ208C is backward-compatible with most current motherboards and operating systems, but specific drivers may be required for optimal performance.
Q3: In which specific scenarios would you recommend using the XCS40-4PQ208C?
A3: This processor is recommended for scenarios requiring high-speed data processing, such as real-time video analytics, big data processing, and cloud computing services.
Other people’s search terms
– High-performance computing solutions
– Data center processors
– Scientific simulation hardware
– Financial algorithmic trading engines
– Energy-efficient server components