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Name: XC7VX415T-2FF1927I
Brand: AMD Xilinx
SKU: XC7VX415T-2FF1927I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

Any Feature, including a modified Existing Feature, that is not an Existing Feature.

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AMD Xilinx XC7VX415T-2FF1927I

Part No.:: XC7VX415T-2FF1927I

Manufacturer:: AMD Xilinx

Package:: 1924-BBGA, FCBGA

Datasheet:: XC7VX415T-2FF1927I.pdf

Description:: IC FPGA 600 I/O 1927FCBGA

In Stock:: 3244

Quantity:: Add To Cart

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XC7VX415T-2FF1927I Specifications

Package/Case:
1924-BBGA, FCBGA
Packaging:
Tray
Series:
Virtex®-7 XT
ProductStatus:
Active
NumberofLABs/CLBs:
32200
NumberofLogicElements/Cells:
412160
TotalRAMBits:
32440320
NumberofI/O:
600
NumberofGates:
-
Voltage-Supply:
0.97V ~ 1.03V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XC7VX415T-2FF1927I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC7VX415T-2FF1927I 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 XC7VX415T-2FF1927I 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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XC7VX415T-2FF1927I information

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XC7VX415T-2FF1927I application case analysis in emerging technology fields

XC7VX415T-2FF1927I is a high-performance FPGA chip designed by Xilinx, offering extensive capabilities for accelerating compute-intensive applications and enabling intelligent solutions.

Application Scenario:

In the field of artificial intelligence and machine learning, XC7VX415T-2FF1927I plays a crucial role in accelerating inference tasks and model training processes, enhancing the efficiency and intelligence of AI systems.

System Architecture:

To leverage the capabilities of XC7VX415T-2FF1927I effectively, the system architecture should be designed to exploit parallel processing and customizable logic resources inherent in FPGAs.

1. Compute Acceleration:

Integrate XC7VX415T-2FF1927I into the system architecture to offload compute-intensive tasks from traditional CPUs or GPUs. Utilize the FPGA's parallel processing capabilities to achieve high throughput and low latency for AI workloads.

2. Algorithm Optimization:

Optimize algorithms for FPGA implementation, leveraging the reconfigurability and parallelism of XC7VX415T-2FF1927I to accelerate specific operations such as convolutional neural network (CNN) layers or matrix multiplications.

3. Interface Integration:

Utilize the flexible I/O interfaces of XC7VX415T-2FF1927I to seamlessly integrate with sensors, actuators, and other components of the AI system. Implement high-speed interfaces like PCIe or Ethernet for efficient data transfer.

4. Power Efficiency:

Optimize power utilization by selectively activating FPGA resources based on workload requirements. Implement power gating techniques and dynamic voltage and frequency scaling to minimize energy consumption while maintaining performance.

5. Real-Time Inference:

Enable real-time inference capabilities by leveraging the parallelism and low latency of XC7VX415T-2FF1927I. Implement efficient hardware architectures for neural network inference to meet stringent latency requirements in AI applications.

Considerations:

When designing AI systems with XC7VX415T-2FF1927I, it's essential to consider:

- Resource Utilization: Optimize FPGA resource utilization to maximize performance and minimize cost.

- Algorithm Portability: Design algorithms with portability in mind to facilitate deployment across different FPGA platforms.

- System Integration: Ensure seamless integration of the FPGA into the overall system architecture, considering factors such as data flow, latency, and scalability.

- Development Tools: Utilize comprehensive development tools provided by Xilinx to streamline FPGA design, verification, and debugging processes.

- Performance Validation: Thoroughly validate the performance of the FPGA-based AI system across a range of benchmarks and real-world scenarios to ensure reliability and accuracy.

XC7VX415T-2FF1927I FAQ

1. How to order XC7VX415T-2FF1927I on icwhale.com?

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2. How does icwhale.com guarantee that XC7VX415T-2FF1927I is from the original manufacturer or authorized agents?

We have a professional and experienced quality control team to strictly verify and test the XC7VX415T-2FF1927I. All suppliers must pass our qualification reviews before they can publish their products including XC7VX415T-2FF1927I on icwhale.com; we pay more attention to the channels and quality of XC7VX415T-2FF1927I products than any other customer. We strictly implement supplier audits, so you can purchase with confidence.

3. Are the XC7VX415T-2FF1927I price and inventory displayed accurate?

The price and inventory of XC7VX415T-2FF1927I fluctuates frequently and cannot be updated in time, it will be updated periodically within 24 hours. And, our quotation usually expires after 5 days.

4. What forms of payment are accepted?

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Warm Tips: It may take up to 24 hours for the carriers to display tracking information. Usually, express delivery takes 3-5 days, and registered mail takes 25-60 days.

6. What is the process for return or replacement of XC7VX415T-2FF1927I?

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 XC7VX415T-2FF1927I we delivered, we will accept the replacement or return of the XC7VX415T-2FF1927I 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 XC7VX415T-2FF1927I.

(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