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Microchip Technology Acquires Neuronix AI Labs

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Microchip Technology acquires Neuronix AI Labs to enhance power efficiency for FPGAs and SoCs deployed in intelligent edge systems. The acquisition enables cost-effective, large-scale edge deployments of computer-vision applications, increases AI/ML processing horsepower on low and mid-range FPGAs, and allows non-FPGA designers to harness powerful parallel processing capabilities using industry-standard AI frameworks.
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The acquisition of Neuronix AI Labs by Microchip Technology marks a significant stride in the field of intelligent edge computing. Edge computing, as a concept, refers to processing data near the source of data generation rather than relying on a centralized data-processing warehouse. This approach is progressively becoming indispensable for applications requiring real-time processing, such as autonomous vehicles and IoT devices. Microchip's enhancement of its FPGAs with Neuronix's sparsity optimization technology indicates a strategic push to capitalize on the growing demand for edge computing solutions.

Integrating neural network capabilities fundamentally strengthens Microchip's product offerings, potentially increasing its market share in an industry where AI and machine learning integration is now a competitive edge rather than just a value-add. Investors should observe closely as Microchip positions itself among other key players in this space, potentially influencing their market movement and investor confidence in the mid to long term. The ability for non-FPGA designers to engage with this technology could broaden the user base, possibly driving sales and affecting stock performance positively.

Focusing on the financial implications, the announcement of Microchip Technology's acquisition of Neuronix AI Labs provides several key points of interest for stakeholders. First, the potential for cost savings and performance enhancements in future Microchip products could lead to an increase in profitability over time. Investment in efficient, power-saving technologies is a trend we've been seeing across the tech industry and Microchip appears to be aligning well with this movement.

From an investor's perspective, acquisitions can sometimes be seen as a risk due to costs and the challenge of integration. However, in this case, the synergies between Neuronix's sparsity optimization technology and Microchip's already established low-power FPGA capabilities might mitigate these risks. Still, it is vital to monitor how the integration progresses and to what extent the promised efficiencies and performance improvements materialize in actual product offerings and subsequent market adoption.

Turning to the technical aspects, the value of Neuronix's neural network sparsity optimization technology lies in its ability to reduce the power, size and computational needs of AI tasks without adversely affecting accuracy. For the uninitiated, sparsity refers to the presence of numerous zero-valued elements in a neural network, which, when optimized, can lead to faster and more energy-efficient computations. This is particularly relevant in the FPGA field, where energy efficiency can be a critical differentiator.

Moreover, the ability to update Convolutional Neural Networks (CNNs) on the fly without hardware reprogramming could significantly reduce downtime and increase adaptability for customers. The blend of Neuronix AI's technology with Microchip's FPGAs could present a compelling product in the market, possibly leading to increased market share and revenue growth. Stakeholders should anticipate how the market responds to these innovations and whether competitors will initiate comparable advances, potentially affecting industry dynamics and stock valuations.

Innovative technology enhances AI-enabled intelligent edge solutions and increases neural networking capabilities

CHANDLER, Ariz., April 15, 2024 (GLOBE NEWSWIRE) -- Microchip Technology (Nasdaq: MCHP) has acquired Neuronix AI Labs to expand its capabilities for power-efficient, AI-enabled edge solutions deployed on field programmable gate arrays (FPGAs). Neuronix AI Labs provides neural network sparsity optimization technology that enables a reduction in power, size and calculations for tasks such as image classification, object detection and semantic segmentation, while maintaining high accuracy.

Microchip’s mid-range PolarFire® FPGAs and SoCs already lead the industry in terms of low power consumption, reliability and security capabilities. The acquisition of this technology will enable Microchip to develop cost-effective, large-scale edge deployments of components designed for use in computer-vision applications on systems that have cost, size and power constraints and enable a multifold increase in AI/ML processing horsepower on low and mid-range FPGAs.

“The acquisition of Neuronix AI Labs’ technology will enhance our power efficiency for FPGAs and SoCs deployed in intelligent edge systems that utilize AI/ML algorithms,” said Bruce Weyer, corporate vice president of Microchip’s FPGA business unit. “Neuronix technology combined with our VectorBlox™ design flow produces an increase in neural network performance efficiency and delivers outstanding GOPS/watt performance in our low-power PolarFire FPGAs and SoCs. Systems designers will now be able to architect and deploy small-footprint hardware that was previously difficult to build due to size, thermal or power constraints.”

The acquisition of this technology will allow non-FPGA designers to harness powerful parallel processing capabilities using industry-standard AI frameworks without requiring in-depth knowledge of FPGA design flow. The combination of Neuronix AI intellectual property and Microchip’s existing compilers and software design kits allows for AI/ML algorithms to be implemented on customizable FPGA logic without a need for resistor-transition level (RTL) expertise or intimate knowledge of the underlying FPGA fabric. It is also designed to allow for updating and upgrading CNNs on the fly without needing to reprogram hardware.

“Neuronix AI Labs has been laser-focused on producing best-in-class neural network acceleration architectures and algorithms that can transform user expectations of size, power, performance and cost,” said Yaron Raz, CEO of Neuronix AI Labs. “Joining the Microchip team offers us a unique opportunity to scale and align with an FPGA portfolio that has set industry standards for power efficiency.”

To learn more visit Microchip’s FPGA and SoC solutions website.

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Cautionary Statement:
The statements in this release that the acquisition will enable cost-effective, large-scale edge deployments of computer-vision applications on systems that have cost, size and power constraints, and enable a multifold increase in AI/ML processing horsepower on low and midrange FPGAs; that the acquisition of Neuronix AI Labs enhances our power efficiency for FPGAs and SoCs deployed in intelligent edge systems that utilize AI/ML algorithms; that the Neuronix technology combined with Microchip’s VectorBlox™ design flow produces a significant increase in neural network performance efficiency and delivers outstanding GOPS/watt performance in our low-power PolarFire FPGAs and SoCs; that Systems designers will now be able to architect and deploy small-footprint hardware that was previously difficult to build due to size, thermal or power constraints; that the acquisition of this technology will allow non-FPGA designers to harness powerful parallel processing capabilities using industry standard AI frameworks, without the need to have in-depth knowledge of FPGA design flow; that the combination of the Neuronix AI intellectual property and Microchip’s existing compilers and software design kits allows for AI/ML algorithms to be implemented on customizable FPGA logic without the need to have Resistor-transition level (RTL) expertise or intimate knowledge of the underlying FPGA fabric; and, that the technology is designed to allow for updating and upgrading CNNs on the fly without the need to reprogram hardware are forward-looking statements made pursuant to the safe harbor provisions of the Private Securities Litigation Reform Act of 1995. These statements involve risks and uncertainties that could cause our actual results to differ materially, including, but not limited to: changes in demand or market acceptance of our products and the products of our customers and our ability to meet any continued increases in market demand; the impact that the CHIPS Act will have on increasing manufacturing capacity in our industry by providing incentives for us, our competitors and foundries to build new wafer manufacturing facilities; the amount and timing of any incentives we may receive under the CHIPS Act, the mix of inventory we hold and our ability to satisfy short-term orders from our inventory; changes in utilization of our manufacturing capacity and our ability to effectively manage and expand our production levels to meet any continued increases in market demand; our ability to realize the expected benefits of our preferred supply program and our long-term supply assurance program; changes or fluctuations in customer order patterns and seasonality; our ability to obtain a sufficient supply of wafers from third party wafer foundries to meet our increasing needs and the cost of such wafers.

For a detailed discussion of these and other risk factors, please refer to Microchip’s filings on Forms 10-K and 10-Q. You can obtain copies of Forms 10-K and 10-Q and other relevant documents for free at Microchip’s website (www.microchip.com) or the SEC’s website (www.sec.gov), or from commercial document retrieval services.

Stockholders of Microchip are cautioned not to place undue reliance on our forward-looking statements, which speak only as of the date such statements are made. Microchip does not undertake any obligation to update any forward-looking statements to reflect events, circumstances publicly, or new information after this press release or to reflect the occurrence of unanticipated events.

About Microchip Technology:
Microchip Technology Inc. is a leading provider of smart, connected and secure embedded control solutions. Its easy-to-use development tools and comprehensive product portfolio enable customers to create optimal designs which reduce risk while lowering total system cost and time to market. The company’s solutions serve approximately 125,000 customers across the industrial, automotive, consumer, aerospace and defense, communications and computing markets. Headquartered in Chandler, Arizona, Microchip offers outstanding technical support along with dependable delivery and quality. For more information, visit the Microchip website at www.microchip.com.

Note: The Microchip name and logo, the Microchip logo, PolarFire and VectorBlox are registered trademarks of Microchip Technology Incorporated in the U.S.A. and other countries. All other trademarks mentioned herein are the property of their respective companies.

Editorial Contact:Reader Inquiries:
Amber Liptai1-888-624-7435
480-492-5047 
amber.liptai@microchip.com 

 


Microchip Technology acquired Neuronix AI Labs to expand its capabilities for power-efficient, AI-enabled edge solutions deployed on field programmable gate arrays (FPGAs).

Neuronix AI Labs provides neural network sparsity optimization technology that enables a reduction in power, size, and calculations for tasks such as image classification, object detection, and semantic segmentation while maintaining high accuracy.

The acquisition will enhance Microchip's power efficiency for FPGAs and SoCs deployed in intelligent edge systems that utilize AI/ML algorithms, enabling cost-effective large-scale edge deployments of computer-vision applications.

The acquisition of Neuronix technology combined with Microchip's VectorBlox™ design flow produces a significant increase in neural network performance efficiency and delivers outstanding GOPS/watt performance in low-power PolarFire FPGAs and SoCs.

The acquisition allows non-FPGA designers to harness powerful parallel processing capabilities using industry-standard AI frameworks without requiring in-depth knowledge of FPGA design flow.
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microchip technology inc. (nasdaq: mchp) is a leading provider of microcontroller, mixed-signal, analog and flash-ip solutions, providing low-risk product development, lower total system cost and faster time to market for thousands of diverse customer applications worldwide. microchip serves over 70,000 customers in more than 65 countries who are designing high-volume embedded control applications in the consumer, automotive, office-automation, communications and industrial-control markets worldwide. headquartered in chandler, arizona, microchip offers outstanding technical support along with dependable delivery and quality.