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Name: XC7K160T-1FF676I
Brand: AMD Xilinx
SKU: XC7K160T-1FF676I
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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AMD Xilinx XC7K160T-1FF676I

Part No.:: XC7K160T-1FF676I

Manufacturer:: AMD Xilinx

Package:: 676-BBGA, FCBGA

Datasheet:: XC7K160T-1FF676I.pdf

Description:: IC FPGA 400 I/O 676FCBGA

In Stock:: 3498

Quantity:: Add To Cart

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XC7K160T-1FF676I Specifications

Package/Case:
676-BBGA, FCBGA
Packaging:
Tray
Series:
Kintex®-7
ProductStatus:
Active
NumberofLABs/CLBs:
12675
NumberofLogicElements/Cells:
162240
TotalRAMBits:
11980800
NumberofI/O:
400
NumberofGates:
-
Voltage-Supply:
0.97V ~ 1.03V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

XC7K160T-1FF676I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including XC7K160T-1FF676I 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 XC7K160T-1FF676I 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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XC7K160T-1FF676I information

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XC7K160T-1FF676I application case analysis in emerging technology fields

XC7K160T-1FF676I is a powerful FPGA chip manufactured by Xilinx, offering high-performance processing capabilities and extensive programmable logic resources.

Application Scenario:

In the field of artificial intelligence (AI) and machine learning (ML), XC7K160T-1FF676I plays a crucial role in accelerating complex algorithms and enabling intelligent decision-making systems.

Algorithm Acceleration:

Utilizing the parallel processing capabilities of XC7K160T-1FF676I, AI and ML algorithms can be significantly accelerated. Tasks such as neural network training and inference, image recognition, and natural language processing can be executed with high efficiency.

Deep Learning Applications:

Deep learning models, which often require extensive computational resources, can benefit from the massive parallelism offered by XC7K160T-1FF676I. Training and inference tasks can be distributed across the FPGA's resources, leading to faster model convergence and inference times.

Real-Time Decision Making:

With its low latency and high throughput, XC7K160T-1FF676I enables real-time decision-making systems in various applications such as autonomous vehicles, medical diagnostics, and financial trading. The FPGA's reconfigurability allows for on-the-fly adjustments to algorithms and models based on changing inputs and conditions.

Edge Computing:

Deploying XC7K160T-1FF676I in edge computing devices brings intelligence closer to the data source, reducing latency and bandwidth requirements. This is particularly advantageous in IoT (Internet of Things) applications, where real-time processing of sensor data is essential for timely decision making.

Customized Accelerators:

Developers can design custom accelerators tailored to specific AI and ML tasks using the programmable logic resources of XC7K160T-1FF676I. This flexibility allows for optimization of performance and resource utilization for targeted applications.

Considerations:

When implementing AI and ML algorithms on XC7K160T-1FF676I, it's essential to consider factors such as:

- Resource Utilization: Efficient utilization of FPGA resources to maximize performance and minimize resource contention.

- Power Consumption: Balancing processing power with power consumption to ensure optimal energy efficiency, especially in battery-powered or energy-constrained devices.

- Algorithm Optimization: Implementing algorithms and models optimized for parallel execution on FPGA hardware to leverage the full potential of XC7K160T-1FF676I.

- System Integration: Seamless integration of the FPGA into the overall system architecture, including interfacing with other components and peripherals.

- Development Tools: Utilizing appropriate development tools and frameworks for FPGA programming and optimization to streamline the development process and facilitate rapid prototyping.

XC7K160T-1FF676I FAQ

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3. Are the XC7K160T-1FF676I price and inventory displayed accurate?

The price and inventory of XC7K160T-1FF676I 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 XC7K160T-1FF676I?

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 XC7K160T-1FF676I we delivered, we will accept the replacement or return of the XC7K160T-1FF676I 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 XC7K160T-1FF676I.

(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