NVIDIA EGX Simplifies AI Deployments with Enterprise Kubernetes NVIDIA Blog

AI is no longer just a research project. It's solving real-world problems for organizations, which now need to figure out where to deploy their AI models to make faster decisions. With the convergence of AI, the Internet of Things and the approaching 5G infrastructure, the opportunity is ripe for companies to push their models beyond the data center to the edge, where billions of sensors are streaming data and making real-time decisions is a reality. Enterprises deploying AI workloads at scale are using a combination of on-premises data centers and the cloud, bringing the AI models to where the data is being collected. Deploying these workloads at the edge, say in a retail store or parking garage, can be very challenging if IT expertise is not available as one might have with data centers.