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Name: 5AGXBB5D4F40I5G
Brand: Intel
SKU: 5AGXBB5D4F40I5G
Price: 2.40 USD
Availability: InStock
Rating: 5 (2 reviews)

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Intel 5AGXBB5D4F40I5G

Part No.:: 5AGXBB5D4F40I5G

Manufacturer:: Intel

Package:: 1517-BBGA, FCBGA

Datasheet:: 5AGXBB5D4F40I5G.pdf

Description:: IC FPGA 704 I/O 1517FBGA

In Stock:: 2262

Quantity:: Add To Cart

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5AGXBB5D4F40I5G Specifications

Package/Case:
1517-BBGA, FCBGA
Packaging:
Tray
Series:
Arria V GX
ProductStatus:
Active
NumberofLABs/CLBs:
158491
NumberofLogicElements/Cells:
420000
TotalRAMBits:
23625728
NumberofI/O:
704
NumberofGates:
-
Voltage-Supply:
1.07V ~ 1.13V
MountingType:
Surface Mount
OperatingTemperature:
-40°C ~ 100°C (TJ)

5AGXBB5D4F40I5G this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including 5AGXBB5D4F40I5G 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 5AGXBB5D4F40I5G 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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5AGXBB5D4F40I5G information

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5AGXBB5D4F40I5G application case analysis in emerging technology fields

5AGXBB5D4F40I5G is an advanced FPGA chip designed for high-performance computing applications. It combines powerful processing capabilities with extensive I/O flexibility, making it ideal for a wide range of industrial and scientific applications.

Application Scenario:

In data centers, this chip can be used to accelerate machine learning algorithms, significantly reducing computation time and improving overall efficiency.

Design Implementation:

To design a machine learning accelerator using 5AGXBB5D4F40I5G, follow these steps:

1. Data Input Interface:

Integrate high-speed data input interfaces, such as PCIe or Ethernet, to feed large datasets into 5AGXBB5D4F40I5G. Configure the I/O pins accordingly to handle the required data throughput.

2. Processing Unit:

Utilize the FPGA's programmable logic to implement custom processing units optimized for machine learning tasks. This can include matrix multipliers, convolutional neural network (CNN) accelerators, and other parallel processing structures.

3. Memory Management:

Connect external memory modules, such as DDR4 RAM, to store intermediate data and weights. Ensure efficient memory access patterns and proper timing synchronization to maximize the data processing speed.

4. Output Interface:

Configure output interfaces to transmit the processed data back to the host system or other external devices. This could include high-speed serial links or additional PCIe lanes.

5. Power Optimization:

Implement power management techniques to minimize energy consumption without compromising performance. This includes dynamic voltage and frequency scaling (DVFS) and power gating for unused logic blocks.

Considerations:

When designing the accelerator, it's essential to consider:

- Resource Utilization: Optimize the use of FPGA resources to ensure maximum performance while keeping power consumption in check.

- Latency and Throughput: Balance the design to achieve the lowest possible latency and highest throughput for real-time applications.

- Scalability: Ensure the design can be scaled up or down based on the application's requirements, allowing for future upgrades and enhancements.

- System Integration: Test the integration of 5AGXBB5D4F40I5G with the overall system, ensuring compatibility and stable operation under various workloads.

- Thermal Management: Design appropriate cooling solutions to dissipate the heat generated by 5AGXBB5D4F40I5G, maintaining optimal operating temperatures for reliable performance.

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6. What is the process for return or replacement of 5AGXBB5D4F40I5G?

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 5AGXBB5D4F40I5G we delivered, we will accept the replacement or return of the 5AGXBB5D4F40I5G 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 5AGXBB5D4F40I5G.

(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