NVIDIA and Google Cloud to Create Industry’s First 5G AI

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BARCELONA, Spain, June 28, 2021 (GLOBE NEWSWIRE) – Mobile World Congress—NVIDIA today announced its partnership with Google Cloud to establish the industry’s first AI-on-5G innovation lab, enabling network infrastructure players and AI software partners to develop, test and adopt solutions that will help accelerate the creation of smart cities, smart factories and other advanced 5G and AI applications.

Lab will provide businesses with access to Google Cloud’s Anthos platform and NVIDIA accelerated computing hardware and software platforms that will enable them to leverage data and AI to drive business performance, improve efficiency operational and optimize safety and reliability. The companies will begin their development in the second half of the year.

“The global telecommunications industry is undergoing a radical transformation as the speed and low latency of 5G creates unprecedented opportunities to deliver AI over 5G to the edge of the enterprise,” said Ronnie Vasishta, vice-president senior president of telecommunications at NVIDIA. “Our collaboration with Google Cloud will help network operators and infrastructure players to design and create new profit centers based on AI and machine learning.”

Growing AI-on-5G ecosystem
NVIDIA ad in April, he joined forces with Google Cloud, Fujitsu, Mavenir, Radisys and Wind River to develop solutions for NVIDIA AI-on-5G Platform. Google Cloud extends the Anthos Application platform at the edge of the network, enabling telecommunications service providers and businesses to rapidly deliver new services and applications to the 5G edge.

“Google Cloud, with our Anthos application platform, enables service providers and businesses in many verticals to seamlessly connect via 5G at the edge of the network,” said Shailesh Shukla, vice president and general manager of networks at Google Cloud. “We are excited to expand our collaboration with NVIDIA to provide a common innovation lab that provides the infrastructure necessary for enterprises, communications service providers and partners to develop, test and deploy their cutting-edge AI applications. . “

Anthos provides a cohesive platform for application deployments, with a service-centric view of each environment. The platform enables customers to build and deploy enterprise-grade containerized applications faster with managed Kubernetes in the cloud, on-premises, and at the edge of the network.

Anthos supports NVIDIA GPU-accelerated servers, enabling a consistent deployment and operational experience between deployments, while reducing costly overheads and improving developer productivity. The platform also protects applications and software supply chains and provides a results-driven approach to manage application policies in all environments – a critical feature for network operators and enterprises providing AI on 5G.

NVIDIA hardware and software development
NVIDIA AI-on-5G provides businesses, mobile network operators, and cloud service providers with a single, converged platform to manage both 5G and advanced computing. The platform uses the NVIDIA Aerial â„¢ Software Development Kit with the NVIDIA BlueField®-2 A100 – a converged card that combines GPU and DPU as well as NVIDIA The “5T for 5G” solution. This enables the creation of high-performance 5G RAN and AI applications to manage precision manufacturing robots, automated guided vehicles, drones, wireless cameras, automatic checkout lanes and hundreds of other transformation projects.

The NVIDIA Aerial SDK, together with the NVIDIA Metropolis AI frameworks for smart cities, NVIDIA Isaac â„¢ for autonomous machines and NVIDIA Clara â„¢ for healthcare, is an integral part of the AI-on-5G ecosystem and can be deployed on just one NVIDIA Certified Systemâ„¢.

In related news today, NVIDIA announced that its next-generation Aerial A100 AI-on-5G computing platform will integrate 16 Arm-based processor cores into the NVIDIA BlueField-3 A100. The result is a self-contained converged card that delivers enterprise edge AI applications on a cloud-native 5G vRAN with improved performance per watt and faster deployment time.

These solutions will be available for testing and validation in the AI-on-5G lab.

NVIDIA AI-on-5G Data Centers – From Edge to Cloud
Software-defined RANs are essential to create a modern 5G infrastructure capable of running a range of applications on a common platform. NVIDIA Aerial enables the best possible use by providing elasticity as network traffic changes throughout the day and the flexibility to deliver services based on dynamic customer needs.

The NVIDIA EGX â„¢ platform offered by OEMs through NVIDIA Certified Systems brings AI compute capabilities to the edge, where data is created. By expanding the platform, server manufacturers can also combine NVIDIA GPUs and DPUs to create hyperconverged edge data centers.

About NVIDIA
NVIDIAThe invention of the GPU by (NASDAQ: NVDA) in 1999 sparked the growth of the PC gaming market and redefined modern computer graphics, high performance computing and artificial intelligence. The company’s pioneering work in accelerated computing and AI is reshaping billion-dollar industries, such as transportation, healthcare, and manufacturing, and fueling the growth of many. other. More information at https://nvidianews.nvidia.com/.

For more information, contact:
Cliff Edwards
NVIDIA Corporation
+ 1-415-699-2755
[email protected]

Certain statements in this press release, including, but not limited to, statements regarding: the benefits, impact, performance, functionality and availability of our products and services; NVIDIA Partners with Google Cloud to Establish Industry’s First AI-on-5G Innovation Lab; the benefits, impact, performance, functionality and availability of our products and services; the benefits, impact, features and development schedule of the AI-on-5G innovation lab; NVIDIA Partners with Google Cloud, Fujitsu, Mavenir, Radisys and Wind River to Develop Solutions for NVIDIA’s AI-on-5G Platform; Google Cloud extending the Anthos application platform to the edge of the network; and NVIDIA solutions available for laboratory testing and validation are forward-looking statements that are subject to risks and uncertainties that could cause results to differ materially from expectations. Important factors that could cause actual results to differ materially are: global economic conditions; our dependence on third parties to manufacture, assemble, package and test our products; the impact of technological development and competition; the development of new products and technologies or improvements to our existing products and technologies; market acceptance of our products or the products of our partners; 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 filed by NVIDIA 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 the reports filed with the SEC are posted on the company’s website and are available free of charge from NVIDIA. 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 such forward-looking statements to reflect events or developments. future circumstances.

© 2021 NVIDIA Corporation. All rights reserved. NVIDIA, the NVIDIA logo, BlueField, CUDA, NVIDIA Aerial, NVIDIA Certified-Systems, NVIDIA Clara, NVIDIA EGX and NVIDIA Isaac are trademarks and / or registered trademarks of NVIDIA Corporation and / or Mellanox Technologies in the United States and other countries. All other trademarks and copyrights are the property of their respective owners. Features, prices, availability and specifications are subject to change without notice. Other company and product names may be trademarks of the respective companies with which they are associated.


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