InnovizSMART Integrates NVIDIA Jetson Orin for Advanced Edge Computing
InnovizSMART Integrates NVIDIA Jetson Orin for Advanced Edge Computing |
| [22-July-2025] |
Integration with NVIDIA Jetson Orin enables faster, more efficient smart application deployments of Innoviz's advanced LiDAR solutions TEL AVIV, Israel, July 22, 2025 /PRNewswire/ -- Innoviz Technologies Ltd. (Nasdaq: INVZ) (the "Company" or "Innoviz"), a leading Tier-1 direct supplier of high-performance, automotive grade LiDAR sensors and perception software, announced today that its new InnovizSMART Long-Range LiDAR is now compatible with NVIDIA Jetson AGX Orin platform, enabling seamless integration. By leveraging NVIDIA accelerated computing and edge computing functionalities, customers utilizing Innoviz's LiDAR solutions for smart applications are expected to experience significant improvements in speed, performance, and scalability.   Integrating InnovizSMART with the NVIDIA Jetson Orin allows the platform's advanced AI processing power to be unleashed, streamlining the data processing pipeline and enhancing the system's ability to make real-time decisions, in applications such as mobility, aerial, robotics, intelligent traffic management and more. NVIDIA Jetson Orin is expected to simplify the deployment of complex AI models and accelerate the speed of data processing at the edge, ensuring improved efficiency and lower operational costs. The integration with NVIDIA Jetson Orin platform is already being used by certain customers and is a key element of Innoviz's strategy to expand the capabilities of InnovizSMART, reinforcing the company's commitment to providing smart applications developers and integrators with cutting-edge tools to create safer, more connected environments. "By integrating InnovizSMART into the NVIDIA Jetson AGX Orin platform, Innoviz is able to offer a powerful combination of high-performance LiDAR with NVIDIA GPU-accelerated edge processing, which is critical for real-time decision-making in smart applications," said Omer Keilaf, CEO and Co-Founder of Innoviz Technologies. "This collaboration will empower our customers to deploy intelligent, scalable solutions that deliver enhanced safety and efficient operation management across many use cases." InnovizSMART Long-Range is a rugged and reliable high-performance LiDAR sensor tailored for smart applications such as mobility, aerial, robotics, and intelligent traffic management. It features low-power consumption, a uniform field of view, and high-resolution 3D point cloud that enables accurate object detection at distances up to 400 meters. For more information about InnovizSMART Long-Range, email: sales@innoviz-tech.com. About Innoviz Innoviz is a global leader in LiDAR technology, serving as a Tier 1 supplier to the world's leading automotive manufacturers and working towards a future with safe autonomous vehicles on the world's roads. Innoviz's LiDAR and perception software "see" better than a human driver and reduce the possibility of error, meeting the automotive industry's strictest expectations for performance and safety. Operating across the U.S., Europe, and Asia, Innoviz has been selected by internationally recognized premium car brands for use in consumer vehicles as well as by other commercial and industrial leaders for a wide range of use cases. For more information, visit innoviz.tech.com. Join the discussion: Facebook, LinkedIn, YouTube, Twitter Media Contact Investor Contact Forward Looking Statements This announcement contains certain forward-looking statements within the meaning of the federal securities laws, including statements regarding the services offered by Innoviz, the anticipated technological capability of Innoviz's products, the markets in which Innoviz operates, Innoviz's projected future operational and financial results. These forward-looking statements generally are identified by the words "believe," "project," "expect," "anticipate," "estimate," "intend," "strategy," "future," "opportunity," "plan," "may," "should," "will," "would," "will be," "will continue," "will likely result," and similar expressions. Forward-looking statements are predictions, projections and other statements about future events that are based on current expectations and assumptions and, as a result, are subject to risks and uncertainties. Many factors could cause actual future events, and in the case of our forward-looking revenues, actual orders or actual payments, to differ materially from the forward-looking statements in this announcement including but not limited to, the ability to implement business plans, forecasts, and other expectations, the ability to convert design wins into definitive orders and the magnitude of such orders, , the ability to identify and realize additional opportunities, potential changes and developments in the highly competitive LiDAR technology and related industries, and our expectations regarding the impact of the evolving conflict in Israel to our ongoing operations. The foregoing list is not exhaustive. You should carefully consider such risk and the other risks and uncertainties described in Innoviz's annual report on Form 20-F for the year ended December 31, 2024, filed with the U.S. Securities and Exchange Commission ("SEC") on March 12, 2025 and in other documents filed by Innoviz from time to time with the SEC. These filings identify and address other important risks and uncertainties that could cause actual events and results to differ materially from those contained in the forward-looking statements. Forward-looking statements speak only as of the date they are made. Readers are cautioned not to put undue reliance on forward-looking statements, and Innoviz assumes no obligation and does not intend to update or revise these forward-looking statements, whether as a result of new information, future events, or otherwise. Innoviz gives no assurance that it will achieve its expectations. Logo - https://mma.prnewswire.com/media/1496323/5425356/Innoviz_Technologies_Logo.jpg
SOURCE Innoviz Technologies | ||
Company Codes: NASDAQ-NMS:INVZ |
View original content:
