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NVIDIA Partner with Google Cloud to Develop Industry First AI-on-5G Lab to Accelerate Smart Cities

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As the Mobile World Congress, 2021 begins, huge companies are starting to release various announcements, with NVIDIA today announcing a new partnership with Google Cloud. This hugely significant partnership will 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. 

The revolutionary lab will begin development in the second half of the year and will allow enterprises to access Google Cloud’s Anthos platform and NVIDIAs accelerated computing hardware and software platforms, enabling them to harness data and AI to benefit in a variety of ways, including:

  • Improved operational efficiency
  • Heightened business performance
  • Optimized safety
  • Definitive reliability

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

Extending the Anthos application platform to the network edge, Google Cloud has allowed a plethora of telecommunications service providers and enterprises to rapidly deliver up-to-date service and applications at the 5G edge.

Shailesh Shukla, vice president, and general manager for Networking at Google Cloud said, “Google Cloud, with our Anthos application platform, is enabling service providers and enterprises across many vertical markets to connect seamlessly over 5G at the network edge,” she continued, “We’re excited to extend our collaboration with NVIDIA to deliver a joint innovation lab that provides the infrastructure required for enterprises, communications service providers and partners to develop, test and deploy their edge AI applications.”

As a consistent platform for application deployments, Anthos offers a service-centric view of each environment, enabling customers to build and deploy enterprise-grade, containerized applications faster with managed Kubernetes in the cloud, on-premises, and at the network edge. Anthos enables consistent deployment and operational experience across deployments while reducing expensive overhead and improving developer productivity through the utilization of NVIDIA GPU-accelerated servers. Additionally, the platform protects applications and software supply chains while providing an outcome-focused approach to managing policies for applications across environments — a critical feature for network operators and enterprises delivering AI on 5G.

NVIDIA AI-on-5G provides enterprises, mobile network operators, and cloud service providers a single, converged platform for handling both 5G and edge AI computing. The platform seamlessly integrates the NVIDIA Aerial™ software development kit with the NVIDIA BlueField®-2 A100, a converged card that combines GPUs and DPUs as well as NVIDIA’s “5T for 5G” solution. This combination allows for the creation of incredibly capable and high-performance 5G RAN and AI applications to manage numerous devices such as:

  • Precision manufacturing robots
  • Automated guided vehicles
  • Drones
  • Wireless cameras
  • Self-checkout aisles 
  • Hundreds of other transformational projects

The AI-on-5G ecosystem can be deployed on a single NVIDIA-Certified System™, giving access to The NVIDIA Aerial SDK, with the AI frameworks NVIDIA Metropolis for smart cities, NVIDIA Isaac™ for autonomous machines, and NVIDIA Clara™ for healthcare. 

Ronnie Vasishta - Senior Vice President of Telecom, NVIDIA - Session on AI-ON-5G: BRINGING CONNECTED INTELLIGENCE TO EVERY INDUSTRY on Thursday, 01 July: 
Arti Loftus is an experienced Information Technology specialist with a demonstrated history of working in the research, writing, and editing industry with many published articles under her belt.

Edited by Luke Bellos
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