Specification of XC7V2000T-2FHG1761C | |
---|---|
Status | Active |
Series | Virtex?-7 T |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 152700 |
Number of Logic Elements/Cells | 1954560 |
Total RAM Bits | 47628288 |
Number of I/O | 850 |
Number of Gates | – |
Voltage – Supply | 0.97V ~ 1.03V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 85C (TJ) |
Package / Case | 1760-BBGA, FCBGA |
Supplier Device Package | 1761-FCBGA (45×45) |
Applications
The XC7V2000T-2FHG1761C is ideal for high-performance computing environments such as data centers and cloud computing platforms. It excels in applications requiring extensive parallel processing capabilities, such as machine learning algorithms, big data analytics, and scientific simulations. This device supports operating temperatures ranging from -40¡ãC to +85¡ãC, making it suitable for both industrial and commercial deployments.
Key Advantages
1. High clock speed up to 300 MHz, enabling faster processing times.
2. Advanced memory interface supporting DDR4 RAM for enhanced data throughput.
3. Low power consumption per gigaflop, reducing operational costs.
4. Compliance with industry-standard certifications like ISO 9001 and CE Marking.
Frequently Asked Questions
Q1: Can the XC7V2000T-2FHG1761C be used in environments with extreme temperatures?
A1: Yes, it operates within a wide temperature range (-40¡ãC to +85¡ãC), ensuring reliability in various climates.
Q2: What is the maximum supported memory bandwidth?
A2: The XC7V2000T-2FHG1761C can handle up to 16 Gbps of memory bandwidth, which is crucial for high-speed data processing tasks.
Q3: In which specific scenarios would this XC7V2000T-2FHG1761C be most beneficial?
A3: This device is particularly beneficial in scenarios involving large-scale data analysis, where its high performance and low power consumption make it an optimal choice for maintaining efficiency while handling complex computational tasks.
Other people’s search terms
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– Industry-standard certified FPGAs