NXP Collaborates with NVIDIA to Accelerate AI Deployment with Integration of TAO Toolkit with NXP Edge Devices
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The integration of NVIDIA TAO Toolkit APIs into NXP's eIQ machine learning development environment represents a significant advancement in the field of edge computing and artificial intelligence (AI). By facilitating the deployment of NVIDIA's pre-trained AI models on NXP's edge processing devices, this collaboration has the potential to enhance the capabilities of IoT devices and industrial applications, ultimately impacting the efficiency and performance of businesses relying on edge computing.
Edge computing is a distributed computing paradigm that brings computation and data storage closer to the location where it is needed, to improve response times and save bandwidth. The rise of IoT and the increasing need for real-time processing have made edge computing increasingly important. The collaboration between NXP and NVIDIA could lead to a new generation of smart devices with improved cognitive capabilities, which could increase demand for NXP's processors and potentially boost its market share in the semiconductor industry.
From a market perspective, NXP's move to integrate NVIDIA's TAO Toolkit APIs is strategically aimed at capturing a larger share of the growing edge AI market. The ability to deploy AI models more efficiently at the edge is important for businesses that require real-time decision-making capabilities, such as autonomous vehicles, manufacturing and healthcare devices. By simplifying AI model deployment, NXP could see increased adoption of its edge processing devices, which may lead to an uptick in sales and potentially influence its stock valuation positively.
Furthermore, by being the first semiconductor vendor to offer such integration, NXP positions itself as an innovator in the AI space, which could attract new partnerships and expand its customer base. The market for edge AI is expected to grow significantly in the coming years and NXP's early entry into this space could provide it with a competitive advantage over rivals who have yet to offer similar integrations.
Investors should monitor the financial implications of NXP's collaboration with NVIDIA closely. The ability to accelerate AI development and deployment could lead to cost savings for clients, as well as reduced time-to-market for AI-driven products. This efficiency gain might translate into higher margins and increased revenue for NXP. However, the costs associated with integrating and maintaining the NVIDIA TAO Toolkit within the eIQ platform should also be considered, as they could offset some of the financial benefits in the short term.
Long-term, if NXP manages to secure a dominant position in the edge AI market, this could lead to a sustainable increase in earnings. Nonetheless, it is important to assess ongoing R&D expenses and the pace of market adoption, as these factors will influence the overall financial impact of this technological advancement on NXP's performance.
- NXP is the first semiconductor vendor to integrate NVIDIA TAO Toolkit APIs directly with its AI enablement offering, the eIQ machine learning development environment
- Enables NVIDIA’s trained AI models to be deployed on NXP’s edge processing devices
- Accelerates AI development by making it easier to deploy trained AI models at the edge
EINDHOVEN, The Netherlands, March 18, 2024 (GLOBE NEWSWIRE) -- At NVIDIA GTC, NXP Semiconductors N.V. (NASDAQ: NXPI) today announced a collaboration with NVIDIA that enables NVIDIA’s trained AI models to be deployed on NXP’s broad portfolio of edge processing devices through the eIQ® machine learning development environment. This exciting enablement offers developers the ability to accelerate development in the increasingly competitive world of AI, made possible by the functional integration of the NVIDIA TAO Toolkit into the NXP’s eIQ machine learning development environment. NXP is the first semiconductor vendor to integrate the NVIDIA TAO APIs directly within an AI enablement offering to make it easier for developers to deploy trained AI models at the edge.
Simplifying the training and deployment of AI models is one of the biggest challenges facing today’s AI developers. To address this challenge, NXP collaborated with NVIDIA to integrate the NVIDIA TAO APIs directly within NXP’s eIQ machine learning development environment. The NVIDIA TAO low-code AI framework makes it easier to leverage trained AI models and fine tune them for specific uses with transfer learning, while NXP’s eIQ development environment eases the deployment of these models to the edge through a combination of software, inference engines, neural network compilers and optimized libraries. As a result of this integration, customers benefit from accelerated AI development, access to a library of pre-tested AI models, and the ability to deploy them on NXP’s wide portfolio of edge processors.
“AI innovation will define the future of the smart connected world,” said Charles Dachs, Senior Vice President and General Manager, Industrial and IoT Edge, NXP. “Combining NVIDIA’s expertise in training and testing AI models with NXP’s long history of industrial and IoT edge innovation creates a synergy that allows our customers to bring their AI models to market quickly and easily.”
“NVIDIA TAO greatly simplifies the creation and deployment of AI models, including state-of-the-art generative AI models,” said Deepu Talla, Vice President of Robotics and Edge Computing at NVIDIA. “This collaboration brings highly accurate, optimized AI models tuned with NVIDIA TAO and plugged seamlessly into NXP’s eIQ development environment to accelerate edge AI deployments.”
The NXP eIQ machine learning software development environment enables the use of AI algorithms on NXP’s broad portfolio of microcontrollers and microprocessors. It is fully integrated into NXP’s MCUXpresso SDK and Yocto Project Linux development environments, allowing developers to develop complete system-level applications with ease.
The eIQ machine learning development environment will directly integrate NVIDIA TAO APIs, delivering a single platform for model AI training, optimization and deployment. NVIDIA TAO provides an API-driven workflow that leverages a collection of pre-trained models and transfer learning to enable users to build custom AI models. NVIDIA TAO provides several optimizations, such as model pruning, that increase the inference throughput.
For more information on how this collaboration can speed development and allow NVIDIA’s pre-trained models to run on the NPU (Neural Processing Unit) in NXP SoCs such as the i.MX 93 applications processor, visit nxp.com/eIQ
About NXP Semiconductors
NXP Semiconductors N.V. (NASDAQ: NXPI) brings together bright minds to create breakthrough technologies that make the connected world better, safer and more secure. As a world leader in secure connectivity solutions for embedded applications, NXP is pushing boundaries in the automotive, industrial & IoT, mobile, and communication infrastructure markets while delivering solutions that advance a more sustainable future. Built on more than 60 years of combined experience and expertise, the company has approximately 34,200 team members in more than 30 countries and posted revenue of
NXP, eIQ and the NXP logo are trademarks of NXP B.V. All other product or service names are the property of their respective owners. All rights reserved. © 2024 NXP B.V
For more information, please contact:
| Americas & Europe | Greater China / Asia |
| Phoebe Francis | Ming Yue |
| Tel: +1 737-274-8177 | Tel: +86 21 2205 2690 |
| Email: phoebe.francis@nxp.com | Email: ming.yue@nxp.com |
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A photo accompanying this announcement is available at https://www.globenewswire.com/NewsRoom/AttachmentNg/12dc07ae-7236-4ae8-bac2-6760bebc188f
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