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XCVU37P-2FSVH2892E
+StücklisteIC FPGA 624 I/O 2892FCBGA
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HerstellerAMD Xilinx
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Herstellerteil #XCVU37P-2FSVH2892E
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Paket FCBGA-2892
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Auf Lager7029
365 Tage Qualitätsgarantie
7*24 Stunden-Servicegarantie
90-Tage Kundendienstgarantie
Originalproduktgarantie
Spezifikationen
| Attribut | Wert |
| Package / Case | Tray |
| Series | Virtex® UltraScale+™ |
| Part Status | Active |
| Number of LABs/CLBs | 162960 |
| Number of Logic Elements/Cells | 2851800 |
| Total RAM Bits | 74344038 |
| Number of I/O | 624 |
| Voltage - Supply | 0.825V ~ 0.876V |
| Mounting Type | Surface Mount |
| Operating Temperature | 0°C ~ 100°C (TJ) |
Übersicht
Description
This FPGA features a high logic density, numerous configurable logic blocks (CLBs), and a wide array of high-speed transceivers, making it ideal for tasks demanding extensive parallel processing capabilities. Additionally, it supports advanced memory interfaces and a variety of connectivity options, facilitating complex data handling and processing tasks.
The XCVU37P-2FSVH2892E is also known for its power efficiency, integrating advanced power-saving technologies for optimized performance under reduced energy consumption. This makes it suitable for modern applications where energy efficiency is as crucial as computational capability. These features position the XCVU37P-2FSVH2892E as a versatile and powerful component for engineers and developers working on cutting-edge technology projects.
Equivalent
Features
1. UltraScale+ Architecture: Offers enhanced performance, power efficiency, and scalability.
2. High Logic Density: Provides a large number of logic cells, making it suitable for complex designs.
3. Advanced DSP Capabilities: Facilitates high-speed digital signal processing operations.
4. High-Speed I/O: Supports high data rates and bandwidth for demanding applications.
5. Memory Resources: Includes on-chip memory blocks for efficient data storage and retrieval.
6. Transceivers: Equipped with high-speed serial transceivers for fast data communication.
7. Flexible Configuration: Allows for partial reconfiguration, enabling dynamic changes without full system downtime.
8. Power Optimization: Designed to offer performance with lower power consumption.
These features make it ideal for applications in telecommunications, data centers, video processing, and other fields requiring high computational power and connectivity.
Pinout
Key functions of the pins include:
1. I/O Pins: Used for general-purpose input and output operations, supporting various I/O standards.
2. Power and Ground Pins: For delivering power to the FPGA and maintaining ground connections.
3. Configuration Pins: For loading and configuring the FPGA with a user-defined bitstream.
4. Dedicated Function Pins: Include clock inputs, JTAG interface for testing and debugging, and pins for high-speed transceivers.
This FPGA is used in applications requiring high performance, high logic density, and advanced features such as signal processing, networking, and data center acceleration.
Manufacturer
Xilinx, founded in 1984, established itself as a leader in the FPGA industry, providing products that allow designers to customize hardware functionality to suit their needs. The company's solutions are characterized by high performance, flexibility, and scalability, enabling businesses to innovate and optimize their systems for specific applications. With the acquisition by AMD, Xilinx continues to operate as a strategic business unit, contributing its expertise in adaptive computing and adding to AMD's portfolio of high-performance processors and GPUs.
Application
1. Data Centers: Used for acceleration in AI and machine learning tasks, as well as in networking and data processing.
2. Telecommunications: Facilitates high-speed data transfer and processing in wireless infrastructure and 5G networks.
3. Broadcast and Video: Supports high-speed video processing and encoding/decoding tasks for UHD and 8K video.
4. Aerospace and Defense: Utilized in complex signal processing and secure communication systems.
5. Medical Imaging: Powers advanced imaging techniques that require high throughput and real-time processing.
Its capabilities in handling large datasets and high-speed processing make it suitable for these demanding applications.