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Name: XCVU095-2FFVC2104I
Brand: AMD Xilinx
SKU: XCVU095-2FFVC2104I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XCVU095-2FFVC2104I

Part No.:: XCVU095-2FFVC2104I

Manufacturer:: AMD Xilinx

Package:: 2104-BBGA, FCBGA

Datasheet:: XCVU095-2FFVC2104I.pdf

Description:: IC FPGA 416 I/O 2104FCBGA

In Stock:: 3133

Quantity:: Add To Cart

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XCVU095-2FFVC2104I Specifications

Package/Case:
2104-BBGA, FCBGA
Packaging:
Bulk
Series:
Virtex® UltraScale™
ProductStatus:
Active
NumberofLABs/CLBs:
67200
NumberofLogicElements/Cells:
1176000
TotalRAMBits:
62259200
NumberofI/O:
416
NumberofGates:
-
Voltage-Supply:
0.922V ~ 0.979V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XCVU095-2FFVC2104I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XCVU095-2FFVC2104I price, data-sheet, in-stock availability, technical difficulties. Also. Quickly Enter the access of compare listing to find out replaceable electronic parts. If you want to retrieve comprehensive data for XCVU095-2FFVC2104I to optimize the supply chain (including cross references, life-cycle, parametric, counterfeit risk, obsolescence managements forecasts), please contact to our Tech-supports team.

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XCVU095-2FFVC2104I information

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XCVU095-2FFVC2104I application case analysis in emerging technology fields

XCVU095-2FFVC2104I is a high-capacity FPGA (Field-Programmable Gate Array) device known for its advanced features and performance, making it ideal for a wide range of applications.

Application Scenario:

In the field of image processing and computer vision, XCVU095-2FFVC2104I plays a crucial role in accelerating complex algorithms and enabling real-time analysis of high-definition video streams.

System Architecture:

To leverage the capabilities of XCVU095-2FFVC2104I for image processing applications, the system architecture typically involves:

1. Sensor Interface:

Connect image sensors, such as CMOS or CCD cameras, to the FPGA's input ports. Utilize high-speed serializers and deserializers (SERDES) to interface with the sensors and transfer image data efficiently.

2. Image Processing Pipeline:

Implement a parallel processing pipeline within the FPGA to perform various image processing tasks, such as noise reduction, edge detection, object recognition, and feature extraction. Utilize the FPGA's parallel processing capabilities and dedicated DSP (Digital Signal Processing) resources for optimized performance.

3. Algorithm Acceleration:

Utilize the reconfigurable nature of XCVU095-2FFVC2104I to accelerate computationally intensive image processing algorithms through custom hardware accelerators implemented in the FPGA fabric. This approach enables high throughput and low latency processing of image data.

4. Integration with Host System:

Interface the FPGA with the host system, such as a PC or embedded platform, using high-speed communication interfaces like PCIe (Peripheral Component Interconnect Express) or Ethernet. This facilitates seamless data transfer between the FPGA and external processing units.

5. Real-Time Feedback:

Implement feedback mechanisms to provide real-time analysis results or visual feedback to the user. Utilize the FPGA's capabilities for fast response and low-latency processing to enable real-time decision-making in applications such as surveillance, autonomous vehicles, or medical imaging.

Considerations:

When designing image processing systems with XCVU095-2FFVC2104I, it's essential to consider:

- Resource Optimization: Efficiently utilize FPGA resources, such as logic elements, memory blocks, and DSP slices, to maximize performance and minimize resource usage.

- Power Efficiency: Implement power-saving techniques, such as dynamic voltage and frequency scaling (DVFS) or clock gating, to optimize power consumption without compromising performance.

- Algorithm Complexity: Balance the complexity of image processing algorithms with the available FPGA resources and processing capabilities to ensure real-time performance and scalability.

- System Integration: Ensure compatibility and interoperability with other system components, including software drivers, operating systems, and external peripherals, to enable seamless integration into larger systems or platforms.

- Verification and Testing: Thoroughly verify and test the image processing algorithms and FPGA implementations to validate functionality, performance, and reliability under various operating conditions and input scenarios.

XCVU095-2FFVC2104I FAQ

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3. Are the XCVU095-2FFVC2104I price and inventory displayed accurate?

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6. What is the process for return or replacement of XCVU095-2FFVC2104I?

All goods will implement Pre-Shipment Inspection (PSI), selected at random from all batches of your order to do a systematic inspection before arranging the shipment. If there is something wrong with the XCVU095-2FFVC2104I we delivered, we will accept the replacement or return of the XCVU095-2FFVC2104I only when all of the below conditions are fulfilled:

(1)Such as a deficiency in quantity, delivery of wrong items, and apparent external defects (breakage and rust, etc.), and we acknowledge such problems.

(2)We are informed of the defect described above within 90 days after the delivery of XCVU095-2FFVC2104I.

(3)The PartNo is unused and only in the original unpacked packaging.

Two processes to return the products:

(1)Inform us within 90 days

(2)Obtain Requesting Return Authorizations