Real-Time AI at the Edge

AI is fundamental to achieving precision health and must be pervasively available from the cloud to the edge and directly on medical devices. NVIDIA’s EGX enables GE Healthcare to deliver rapid MR acquisition times, improves image quality, and reduces variability by embedding NVIDIA T4 GPUs directly into our medical devices—all to further our goal of improving patient outcomes. Real-time, critical care use cases demand AI at the edge. This is why we created our Edison intelligence offering and partnered with NVIDIA to bring AI into our medical devices and Edison edge appliances—and why we are working with ACR AI-LAB to democratize AI.

— Jason Polzin, PhD, General Manager of MR Applications at GE Healthcare

Red Hat is committed to providing a consistent experience for any workload, footprint, and location, from the hybrid cloud to the edge. By combining Red Hat OpenShift and NVIDIA EGX-enabled platforms, customers can better optimize their distributed operations with a consistent, high-performance, container-centric environment.

— Chris Wright, Chief Technology Officer, Red Hat

Foxconn PC production lines are limited by the speed of inspection because it currently requires four seconds to manually inspect each part. Our goal is to increase the throughput of the PC production line by over 40 percent using the NVIDIA EGX platform for real-time intelligent decision-making at the edge. Our model detects and classifies 16 defect types and locations simultaneously using fast neural networks running on NVIDIA GPUs, achieving 98 percent accuracy at a superhuman throughput rate.

— Mark Chien, General Manager, Foxconn D Group

Mellanox Smart NICs and switches provide the ideal I/O connectivity for data access that scale from the edge to hyperscale data centers. The combination of high-performance, low-latency, and accelerated networking provides a new infrastructure tier of computing that is critical to efficiently access and supply the data needed to fuel the next generation of advanced AI solutions on edge platforms such as NVIDIA EGX.

— Michael Kagan, Chief Technology Officer, Mellanox Technologies