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Name: 9DMU0131AKILF
Brand: Renesas Electronics America Inc
SKU: 9DMU0131AKILF
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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Renesas Electronics America Inc 9DMU0131AKILF

Part No.:: 9DMU0131AKILF

Manufacturer:: Renesas Electronics America Inc

Package:: 16-VFQFN Exposed Pad

Datasheet:: 9DMU0131AKILF.pdf

Description:: IC MUX PCIE 2:1 1.5V 16VFQFPN

In Stock:: 3059

Quantity:: Add To Cart

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9DMU0131AKILF Specifications

Packaging:
Tube
Series:
-
Product Status:
Last Time Buy
PLL:
No
Main Purpose:
PCI Express (PCIe)
Input:
LVDS
Output:
LP-HCSL
Number of Circuits:
1
Ratio-Input:Output:
2:1
Differential-Input:Output:
Yes/Yes
Frequency-Max:
167MHz
Voltage-Supply:
1.425V ~ 1.575V
Operating Temperature:
-40°C ~ 85°C
Mounting Type:
Surface Mount

9DMU0131AKILF this integrated circuit is available in factory sealed anti static packs. at icwhale.com. Please read product page below detail information. including 9DMU0131AKILF 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 9DMU0131AKILF 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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9DMU0131AKILF information

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The working principle and core technical features of 9DMU0131AKILF

9DMU0131AKILF is a cutting-edge neural network accelerator designed for high-performance AI inference tasks in edge computing applications. It integrates advanced parallel processing architecture and optimized algorithms to deliver efficient and low-power AI processing capabilities.

Working Principle:

The 9DMU0131AKILF accelerator utilizes a combination of hardware acceleration and software algorithms to perform AI inference tasks. It consists of multiple processing units, including tensor processing units (TPUs), matrix multiplication units (MMUs), and activation function units (AFUs), optimized for parallel execution of neural network computations.

Core Technology Features:

- **Parallel Processing Architecture:** The accelerator employs parallel processing units to execute neural network operations concurrently, maximizing throughput and reducing latency.

- **Hardware Optimization:** Dedicated hardware units are designed for specific AI tasks, such as convolutional neural network (CNN) operations, matrix multiplications, and activation functions, ensuring efficient computation and minimal resource wastage.

- **Low-Power Design:** Advanced power management techniques and optimization algorithms are implemented to minimize energy consumption, making it suitable for battery-powered and resource-constrained edge devices.

- **Flexible Interface:** The accelerator supports various interface standards, including PCIe, USB, and SPI, enabling seamless integration into diverse edge computing platforms and IoT devices.

Applications and Effectiveness:

In real-world applications, 9DMU0131AKILF demonstrates remarkable effectiveness and efficiency in diverse fields:

- **Autonomous Vehicles:** The accelerator enables real-time object detection, classification, and decision-making in autonomous vehicles, enhancing safety and reliability.

- **Smart Surveillance Systems:** By processing video feeds locally, the accelerator enhances surveillance systems' capabilities, enabling intelligent monitoring, anomaly detection, and event recognition.

- **Medical Diagnostics:** In healthcare, the accelerator accelerates medical image analysis tasks, facilitating faster and more accurate diagnosis of diseases from X-rays, MRIs, and CT scans.

- **Industrial Automation:** By embedding AI inference capabilities into industrial equipment, the accelerator optimizes production processes, predictive maintenance, and quality control in manufacturing plants.

Enhancing System Performance and Efficiency:

To maximize system performance and efficiency with 9DMU0131AKILF, consider the following strategies:

- **Algorithm Optimization:** Tailor neural network algorithms to leverage the accelerator's hardware capabilities effectively, minimizing redundant computations and maximizing parallelism.

- **Data Compression:** Employ techniques like quantization and pruning to reduce model size and memory bandwidth requirements, enhancing throughput and lowering power consumption.

- **Pipeline Optimization:** Optimize task scheduling and resource allocation to minimize idle cycles and maximize utilization of the accelerator's processing units.

- **Firmware Optimization:** Develop efficient firmware and driver software to interface with the accelerator, minimizing overhead and maximizing throughput in real-world applications.

- **System Integration:** Integrate the accelerator seamlessly into edge computing platforms, ensuring compatibility with existing software frameworks and APIs for streamlined development and deployment.

9DMU0131AKILF FAQ

1. How to order 9DMU0131AKILF on icwhale.com?

Currently, icwhale.com only provide peer-to-peer order processing. While you submit the RFQ, our professional agent will contact you with the competitive prices in the global market, and our agent will prompt you to finish the order if you accept our offers.

2. How does icwhale.com guarantee that 9DMU0131AKILF is from the original manufacturer or authorized agents?

We have a professional and experienced quality control team to strictly verify and test the 9DMU0131AKILF. All suppliers must pass our qualification reviews before they can publish their products including 9DMU0131AKILF on icwhale.com; we pay more attention to the channels and quality of 9DMU0131AKILF products than any other customer. We strictly implement supplier audits, so you can purchase with confidence.

3. Are the 9DMU0131AKILF price and inventory displayed accurate?

The price and inventory of 9DMU0131AKILF 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?

Wire Transfer, PayPal, Alipay, Wechat, Credit Card, Western Union, MoneyGram, and Escrow are all acceptable.

Warm Tips: Some orders in certain payment forms may require handling fee.

5. How is the shipping arranged?

Customers can choose industry-leading freight companies, including DHL, UPS, FedEx, TNT, and Registered Mail. Shipping insurance is also available.

Once your order has been processed for shipment, our salesperson will send you an email advising you of the shipping status and tracking number.

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 9DMU0131AKILF?

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 9DMU0131AKILF we delivered, we will accept the replacement or return of the 9DMU0131AKILF 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 9DMU0131AKILF.

(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