Artificial intelligence (AI) and cloud-native applications, IoT and its billions of sensors, and 5G networking now make large-scale AI at the edge possible. But, a scalable, accelerated platform is necessary to drive decisions in real time and allow every industry—including retail, manufacturing, healthcare, and smart cities—to deliver automated intelligence to the point of action. This is what brings people, businesses, and accelerated services together, making the world a smaller, more connected place.
With NVIDIA Fleet Command, managing and scaling your edge deployments are easy. Whether you have dozens of edge devices or millions, you can deliver AI securely and remotely to your entire network—in minutes.
NVIDIA AI-on-5G is a unified platform that simplifies the deployment of AI applications over 5G edge networks. By bringing together expansive 5G connectivity, powerful compute, and AI applications, the AI-on-5G platform will accelerate the digital transformations happening all around us.
With AI-powered insights, major retailers everywhere can keep customers smiling. Large retailers have developed several AI strategies to improve the customer experience and assist their workforce in daily operations. For example, smarter checkout systems are using computer vision to confirm that items being scanned are the same ones being identified by the bar codes. Intelligent video analytics (IVA) are helping retailers understand shopper preferences and optimize store layouts for a better in-store experience. And with AI, retailers are helping employees identify when items need to be restocked or replaced with fresher goods.
Enterprises are adopting accelerated edge computing and AI to transform manufacturing into a safer, more efficient industry. For example, BMW has taken the power of AI to the edge by putting inspection cameras on the factory floor, providing them with a 360-degree view of their assembly line. This creates real-time insights and a safer, more streamlined manufacturing process. Procter & Gamble is leveraging faster edge computing to assist employees during inspections. By analyzing thousands of hours of footage from inspection lines, the company can immediately flag imperfections, improving quality control and helping them to meet the highest safety standards.
Businesses aren’t the only ones turning to accelerated AI at the edge. Cities like Dubuque, Iowa, are creating safer road conditions and delivering faster emergency services. In Dubuque, dozens of connected cameras provide real-time visibility of traffic with the ability to detect dangerous drivers, obstacles blocking roadways, and people who may need emergency assistance. Companies like Numina are also bringing AI to the edge to optimize traffic flows and make the streets safer for drivers, bicyclists, and pedestrians.
Enabling AI at the edge lays the foundation for making smart hospitals a reality. With smart sensors, physicians can get the help they need to advance patient care, increase data security, and improve operational efficiency. Companies like Artisight are using HIPAA-compliant platforms to provide high precision thermal screening, enhance ICU capacity, coordinate procedural locations and clinic sits, manage inventory, and monitor patients remotely.
With their global networks close to the edge, telcos are uniquely positioned to play a critical role in the delivery of new services and experiences. From software-defined networks that automate self-checkout for convenience stores, to private 5G wireless in factories equipped with sensors and cameras for QA/QC inspection, and AI-enabled immersive business and consumer experiences, this digital transformation unlocks new opportunities and high-value revenue streams for network providers.
With NVIDIA EGX and NVIDIA Triton, millions of pieces of daily mail are tracked and identified faster and safer than ever before. The United States Postal Service (USPS) and NVIDIA designed the deep learning (DL) models needed to create the genesis of the Edge Computing Infrastructure Program (ECIP), a distributed edge AI system that’s up and running on the NVIDIA EGX platform at USPS today. A computer vision task that would have required two weeks on a network of servers with 800 CPUs can now be done in 20 minutes. NVIDIA Triton Inference Server automates the delivery of different AI models to various systems that may have other versions of GPUs and CPUs supporting multiple DL frameworks.
One architecture. Every enterprise workload. Discover the platform that's unifying the data center and bringing accelerated computing to every enterprise.
The NVIDIA EGX platform provides a range of validated servers and devices, an end-to-end software stack, and a vast ecosystem of partners offering EGX in their products and services to deliver the power of accelerated AI computing to the edge.
The NGC registry provides Helm charts and containers that allow IT teams to quickly deploy GPU-powered systems remotely and easily run GPU-optimized edge AI applications so organizations can make smarter and faster decisions.