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Name: MPF300TS-FCVG484I
Brand: Microchip Technology
SKU: MPF300TS-FCVG484I
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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Microchip Technology MPF300TS-FCVG484I

Part No.:: MPF300TS-FCVG484I

Manufacturer:: Microchip Technology

Package:: 484-BBGA, FCBGA

Datasheet:: MPF300TS-FCVG484I.pdf

Description:: IC FPGA 284 I/O 484FCBGA

In Stock:: 3457

Quantity:: Add To Cart

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MPF300TS-FCVG484I Specifications

Package/Case:
484-BBGA, FCBGA
Packaging:
Tray
Series:
PolarFire™
ProductStatus:
Active
NumberofLABs/CLBs:
-
NumberofLogicElements/Cells:
300000
TotalRAMBits:
21094400
NumberofI/O:
284
NumberofGates:
-
Voltage-Supply:
0.97V ~ 1.08V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

MPF300TS-FCVG484I this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including MPF300TS-FCVG484I 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 MPF300TS-FCVG484I 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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MPF300TS-FCVG484I information

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MPF300TS-FCVG484I application case analysis in emerging technology fields

MPF300TS-FCVG484I is an advanced field-programmable gate array (FPGA) chip designed for high-performance computing and acceleration applications. With its extensive logic capacity, versatile I/O interfaces, and integrated DSP blocks, it enables efficient and intelligent implementation of various algorithms and tasks.

Application Scenario:

In the realm of artificial intelligence (AI) and machine learning (ML), MPF300TS-FCVG484I can revolutionize data processing and inference tasks. Let's delve into a specific application in real-time image recognition.

System Architecture:

To develop a real-time image recognition system using MPF300TS-FCVG484I, the following architecture can be employed:

1. Image Acquisition:

Utilize image sensors, such as CMOS or CCD cameras, to capture input images. Interface these sensors with the FPGA's high-speed serial transceivers to ensure rapid data transfer.

2. Preprocessing:

Implement preprocessing algorithms within the FPGA fabric to enhance image quality and extract relevant features. Techniques like noise reduction, edge detection, and image normalization can be efficiently executed using MPF300TS-FCVG484I's parallel processing capabilities.

3. Neural Network Inference:

Deploy neural network models optimized for FPGA acceleration onto MPF300TS-FCVG484I. Utilize the FPGA's embedded DSP blocks and parallel processing units to execute convolutional and fully connected layers with high throughput and low latency.

4. Decision Making:

Implement decision-making logic within the FPGA to interpret neural network outputs and make real-time classifications. This may involve thresholding, post-processing, or integration with external control systems.

5. Feedback and Adaptation:

Enable feedback mechanisms within the FPGA architecture to adapt the neural network's parameters dynamically based on performance metrics or changing environmental conditions. This fosters continuous learning and improvement.

Benefits:

By leveraging MPF300TS-FCVG484I in real-time image recognition systems, several benefits can be realized:

- High Throughput: The FPGA's parallel processing architecture enables rapid execution of complex algorithms, ensuring real-time performance even with large datasets.

- Low Latency: On-chip memory resources and optimized routing within MPF300TS-FCVG484I minimize data transfer delays, facilitating quick inference and decision-making.

- Flexibility: FPGA-based solutions offer flexibility in algorithm deployment and parameter tuning, allowing customization for specific applications or evolving requirements.

- Energy Efficiency: The efficient utilization of resources within MPF300TS-FCVG484I results in lower power consumption compared to traditional CPU or GPU-based implementations, making it suitable for embedded and edge computing environments.

- Scalability: FPGA-based architectures can scale to accommodate growing computational demands by utilizing additional FPGA chips or integrating with other processing units, ensuring scalability without sacrificing performance.

MPF300TS-FCVG484I FAQ

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3. Are the MPF300TS-FCVG484I price and inventory displayed accurate?

The price and inventory of MPF300TS-FCVG484I 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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6. What is the process for return or replacement of MPF300TS-FCVG484I?

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 MPF300TS-FCVG484I we delivered, we will accept the replacement or return of the MPF300TS-FCVG484I 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 MPF300TS-FCVG484I.

(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