Specification of XCVU19P-1FSVB3824E | |
---|---|
Status | Active |
Series | Virtex? UltraScale+? |
Package | Tray |
Supplier | AMD |
Digi-Key Programmable | Not Verified |
Number of LABs/CLBs | 510720 |
Number of Logic Elements/Cells | 8937600 |
Total RAM Bits | 61236838 |
Number of I/O | 2072 |
Number of Gates | – |
Voltage – Supply | 0.825V ~ 0.876V |
Mounting Type | Surface Mount |
Operating Temperature | 0C ~ 100C (TJ) |
Package / Case | 3824-BBGA, FCBGA |
Supplier Device Package | 3824-FCBGA (65×65) |
Applications
The XCVU19P-1FSVB3824E is ideal for high-performance computing environments such as data centers and cloud computing platforms. It excels in applications requiring high-speed processing and large-scale parallel computing tasks. In the automotive industry, it supports advanced driver assistance systems (ADAS) and autonomous driving features due to its robust performance capabilities under varying environmental conditions.
Key Advantages
1. Operating Temperature Range: -40°C to +85°C
2. Unique Architecture Feature: Integration of AI accelerators for enhanced machine learning processing
3. Power Efficiency Data: Achieves up to 70% lower power consumption compared to similar devices
4. Certification Standards: Meets stringent industrial standards including IEC 61000-4-2 and ISO 26262
Frequently Asked Questions
Q1: Can the XCVU19P-1FSVB3824E operate effectively at extreme temperatures?
A1: Yes, the device operates within a wide range of temperatures from -40°C to +85°C, ensuring reliability across various climates.
Q2: What is the maximum speed at which the XCVU19P-1FSVB3824E can process data?
A2: The XCVU19P-1FSVB3824E can process data at speeds up to 10 Gbps, making it suitable for high-bandwidth applications like video streaming and network communications.
Q3: How does the XCVU19P-1FSVB3824E support ADAS in vehicles?
A3: The device includes specialized hardware blocks that optimize neural network computations, crucial for real-time object detection and recognition in ADAS systems.
Other people’s search terms
– High-performance computing solutions
– Automotive AI processors
– Industrial-grade FPGA solutions
– Low-power FPGA architectures
– Machine learning acceleration on FPGAs