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XCVU9P-2FLGA2104I
+NomenclatureIC FPGA 416 I/O 2104FCBGA
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FabricantAMD Xilinx
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Pièce fabricant #XCVU9P-2FLGA2104I
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Package FBGA-2104
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En stock4831
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Spécifications
| Attribut | Valeur |
| Package | Tray |
| Series | Virtex® UltraScale+™ |
| ProductStatus | Active |
| NumberofLABs/CLBs | 147780 |
| NumberofLogicElements/Cells | 2586150 |
| TotalRAMBits | 391168000 |
| NumberofI/O | 416 |
| Voltage-Supply | 0.825V ~ 0.876V |
| MountingType | Surface Mount |
| OperatingTemperature | -40°C ~ 100°C (TJ) |
| Package/Case | 2104-BBGA, FCBGA |
Présentation
Description
The "2FLGA2104I" in the name denotes specific package and speed grade details, with the "I" indicating an industrial temperature range. The device is housed in an FCLGA package with 2104 pins, which supports high pin count requirements and robust I/O capabilities.
Virtex UltraScale+ FPGAs, including the XCVU9P, support advanced features like integrated block RAM, UltraRAM, and high-bandwidth memory interfaces, providing the flexibility and scalability needed for complex designs. The FPGA's architecture is optimized for low latency and high throughput, making it ideal for accelerating compute-intensive tasks and real-time processing.
Equivalent
Features
1. Architecture: Utilizes the UltraScale+ architecture, offering high logic density and performance.
2. Logic Cells: Contains a large number of logic cells, facilitating complex computations and designs.
3. I/O Pins: Comes with numerous I/O pins to support various interfaces and connectivity options.
4. Memory: Equipped with significant on-chip memory, including block RAM and UltraRAM, to support data-intensive applications.
5. DSP Slices: Includes many DSP slices for efficient processing of signal processing tasks.
6. High-Speed Connectivity: Supports high-speed serial transceivers for fast data transfer.
7. Power Efficiency: Designed to deliver high performance while maintaining power efficiency.
8. Package: Available in an FCLGA package, suitable for various deployment scenarios.
9. Temperature Range: Suitable for industrial temperature ranges, expanding usability in diverse environments.
These features make the XCVU9P-2FLGA2104I ideal for applications like data centers, wireless communications, and advanced computing.
Pinout
The primary functions of the XCVU9P-2FLGA2104I include:
1. High-Performance Computing: Designed for applications that require significant computational power, such as data centers, networking, and advanced computing systems.
2. High I/O Bandwidth: Provides extensive I/O options to support high-speed connectivity and data throughput, ideal for applications needing rapid data transfer.
3. Scalability and Flexibility: Offers significant resources like LUTs (Look-Up Tables), DSP slices, and Block RAM to enable customizable and scalable system designs.
4. Advanced Configurability: Supports various configurations and reconfigurability options, making it adaptable for diverse applications.
This FPGA is suitable for demanding applications that require robust processing capabilities, extensive memory, and high-speed data handling.
Manufacturer
Xilinx's FPGAs, such as the one mentioned, allow for reconfigurable computing, which means that the hardware can be reprogrammed to perform specific tasks even after the product has been deployed. This makes their products highly versatile and desirable in industries where adaptability and rapid prototyping are crucial. In 2020, Xilinx was acquired by Advanced Micro Devices (AMD), a leading company in the semiconductor industry known for its CPUs and GPUs. This acquisition has allowed AMD to expand its product portfolio and enhance its capabilities in adaptive computing and data center solutions.
Application
1. Data Centers: Enhancing performance for networking and data processing tasks.
2. Telecommunications: Supporting 5G infrastructure and optical transport networks.
3. Broadcasting: Enabling high-definition video processing and distribution.
4. Aerospace and Defense: Providing advanced signal processing capabilities for radar and communication systems.
5. High-Performance Computing: Facilitating complex computations and simulations.
6. Machine Learning: Accelerating AI and deep learning applications.
Its configurability, high logic density, and processing power make it suitable for demanding computational tasks.