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Name: XC7A200T-1SBG484I
Brand: AMD Xilinx
SKU: XC7A200T-1SBG484I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC7A200T-1SBG484I

Part No.:: XC7A200T-1SBG484I

Manufacturer:: AMD Xilinx

Package:: 484-FBGA, FCBGA

Datasheet:: XC7A200T-1SBG484I.pdf

Description:: IC FPGA 285 I/O 484FCBGA

In Stock:: 2316

Quantity:: Add To Cart

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XC7A200T-1SBG484I Specifications

Package/Case:
484-FBGA, FCBGA
Packaging:
Tray
Series:
Artix-7
ProductStatus:
Active
NumberofLABs/CLBs:
16825
NumberofLogicElements/Cells:
215360
TotalRAMBits:
13455360
NumberofI/O:
285
NumberofGates:
-
Voltage-Supply:
0.95V ~ 1.05V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XC7A200T-1SBG484I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC7A200T-1SBG484I 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 XC7A200T-1SBG484I 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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XC7A200T-1SBG484I information

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XC7A200T-1SBG484I application case analysis in emerging technology fields

XC7A200T-1SBG484I is a high-performance FPGA (Field Programmable Gate Array) chip manufactured by Xilinx, known for its versatility and advanced features. It offers a large capacity, abundant resources, and extensive connectivity options, making it suitable for a wide range of applications.

Application Scenario:

In the field of artificial intelligence (AI) and machine learning (ML), XC7A200T-1SBG484I plays a crucial role in accelerating complex algorithms and tasks. Its reconfigurable nature allows developers to optimize hardware architectures for specific AI/ML models, enhancing efficiency and performance.

Use Case:

XC7A200T-1SBG484I is employed in a real-time image recognition system deployed in autonomous vehicles. Here's how it facilitates efficient and intelligent operation:

1. High-Speed Processing:

Utilizing the parallel processing capability of XC7A200T-1SBG484I, the image recognition algorithm can execute multiple operations simultaneously, significantly reducing latency and enabling real-time decision-making in dynamic environments.

2. Customized Acceleration:

Developers leverage the FPGA's programmability to tailor hardware accelerators for specific AI tasks, such as convolutional neural network (CNN) inference. This customization optimizes resource utilization and energy efficiency, enhancing overall system performance.

3. Flexible Connectivity:

With a plethora of I/O interfaces and configurable logic blocks, XC7A200T-1SBG484I facilitates seamless integration with sensors, cameras, and other peripherals essential for autonomous vehicle operation. This versatility enables robust sensor fusion and data processing.

4. Adaptive Learning:

By implementing adaptive algorithms within the FPGA fabric, the system can continuously learn and adapt to changing road conditions, improving accuracy and reliability over time. This capability is crucial for ensuring safe and efficient autonomous navigation.

5. Low Latency Communication:

XC7A200T-1SBG484I supports high-speed communication interfaces like PCIe and Ethernet, facilitating seamless data exchange with onboard processing units and external servers. This low-latency communication ensures timely decision-making and coordination within the autonomous vehicle ecosystem.

Considerations:

When designing the AI-enabled autonomous vehicle system using XC7A200T-1SBG484I, it's essential to consider:

- Power Efficiency: Implement power management strategies to optimize energy consumption and prolong battery life, crucial for prolonged autonomous operation.

- Thermal Management: Ensure adequate cooling solutions to prevent overheating of XC7A200T-1SBG484I and other components, maintaining optimal performance under varying environmental conditions.

- Algorithm Optimization: Continuously refine AI algorithms to leverage the FPGA's capabilities fully, maximizing computational efficiency and system responsiveness.

- Safety and Redundancy: Incorporate redundant systems and fail-safe mechanisms to mitigate the risk of hardware failures and ensure safe autonomous operation, adhering to stringent safety standards and regulations.

- Scalability: Design the system architecture with scalability in mind to accommodate future advancements in AI/ML technology and evolving application requirements, ensuring long-term viability and adaptability.

XC7A200T-1SBG484I FAQ

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3. Are the XC7A200T-1SBG484I price and inventory displayed accurate?

The price and inventory of XC7A200T-1SBG484I fluctuates frequently and cannot be updated in time, it will be updated periodically within 24 hours. And, our quotation usually expires after 5 days.

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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 XC7A200T-1SBG484I?

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 XC7A200T-1SBG484I we delivered, we will accept the replacement or return of the XC7A200T-1SBG484I 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 XC7A200T-1SBG484I.

(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