NVIDIA Launches Edge Computing Platform to Bring Real-Time AI to Global Industries

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Kristin Bryson
PR Director, AI and Accelerated Computing
NVIDIA Corporation
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  1. IDC white paper, sponsored by Seagate, “Data Age 2025: The Digitization of the World from Edge to Core,” November 2018.

Certain statements in this press release including, but not limited to, statements as to: NVIDIA launching an edge computing platform to bring real-time AI to global industries; leading computer makers adopting the NVIDIA EGX platform, and it offering GPU Edge servers for instant AI on real-time streaming data in industries; the benefits, performance, features, abilities and impact of NVIDIA EGX, NVIDIA Jetson Nano, NVIDIA AI computing and NVIDIA T4 servers; NVIDIA EGX enabling companies to perform low-latency AI at the edge and it being able to perceive, understand and act in real time on continuous data streaming; NVIDIA EGX meeting the growing demand to perform AI at the edge and its abilities; the year by which 150 billion machine sensors and IoT devices streaming continuous data that will need to be processed; edge servers being distributed throughout the world to process data; enterprises demanding more powerful computing at the edge to process data and drive their business and NVIDIA EGX allowing them to deploy systems to meet their needs; the ability to use EGX to deploy AI quickly and securely from edge to cloud; the benefits of combining NVIDIA EGX, Red Hat OpenShift and NVIDIA Edge Stack and its performance for customers; EGX, Red Hat OpenShift, NVIDIA Edge Stack, and Mellanox and Cisco security enabling companies to stand up AI infrastructures; NVIDIA EGX working with Mellanox technologies to fuel the next generation of advanced AI solutions on the edge; Cisco’s excitement to collaborate with NVIDIA and its impacts; Azure IoT looking forward to supporting NVIDIA’s EGX platform on its devices so customers can deploy AI workloads targeting EGX-compatible hardware; the software solutions enabling AI at the edge; the top computer makers adopting NVIDIA EGX and its availability; the goals, impact and support of customers planning to use NVIDIA EGX; AI being fundamental to achieving precision health and needing to be pervasively available from the cloud to the edge and directly on medical devices; NVIDIA EGX enabling the delivery of rapid MR acquisition times, improving image quality and reducing variability by embedding NVIDIA T4 GPUs directly into medical devices; critical-care use cases demanding AI at the edge; NVIDIA and GE Healthcare partnering to bring AI to devices and working to democratize AI; high-performance, low-latency and accelerated networking providing a new infrastructure tier of computing that is critical to efficiently access and supply the data needed for the next generation of advanced AI solutions; hospitals increasingly using AI to predict adverse patient events, support clinical decision-making and operate more efficiently; NVIDIA EGX AI providing hospitals easy AI infrastructure to keep patient data secure, deliver real-time AI and scale to thousands of AI applications; and NVIDIA EGX accelerating inference at the edge and allowing the detection of defects humans haven’t been able to see in the past are forward-looking statements that are subject to risks and uncertainties that could cause results to be materially different than expectations. Important factors that could cause actual results to differ materially include: global economic conditions; our reliance on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; development of new products and technologies or enhancements to our existing product and technologies; market acceptance of our products or our partners' products; design, manufacturing or software defects; changes in consumer preferences or demands; changes in industry standards and interfaces; unexpected loss of performance of our products or technologies when integrated into systems; as well as other factors detailed from time to time in the most recent reports NVIDIA files with the Securities and Exchange Commission, or SEC, including, but not limited to, its annual report on Form 10-K and quarterly reports on Form 10-Q. Copies of reports filed with the SEC are posted on the company's website and are available from NVIDIA without charge. These forward-looking statements are not guarantees of future performance and speak only as of the date hereof, and, except as required by law, NVIDIA disclaims any obligation to update these forward-looking statements to reflect future events or circumstances.

© 2019 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, CUDA, CUDA-X, Jetson Nano, NGC and TensorRT are trademarks and/or registered trademarks of NVIDIA Corporation in the U.S. and other countries. Red Hat and OpenShift are trademarks or registered trademarks of Red Hat, Inc. or its subsidiaries in the U.S. and other countries. Other company and product names may be trademarks of the respective companies with which they are associated. Features, pricing, availability and specifications are subject to change without notice.



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