A recent press release states, “NVIDIA today announced NVIDIA EGX, an accelerated computing platform that enables companies to perform low-latency AI at the edge — to perceive, understand and act in real time on continuous streaming data between 5G base stations, warehouses, retail stores, factories and beyond. NVIDIA EGX was created to meet the growing demand to perform instantaneous, high-throughput AI at the edge — where data is created – with guaranteed response times, while reducing the amount of data that must be sent to the cloud. By 2025, 150 billion machine sensors and IoT devices will stream continuous data that will need to be processed — orders of magnitude more than produced today by individuals using smartphones. Edge servers like those in the NVIDIA EGX platform will be distributed throughout the world to process data in real time from these sensors.”

The release goes on. “EGX starts with the tiny NVIDIA Jetson Nano™, which in a few watts can provide one-half trillion operations per second (TOPS) of processing for tasks such as image recognition. And it spans all the way to a full rack of NVIDIA T4 servers, delivering more than 10,000 TOPS for real-time speech recognition and other real-time AI tasks. NVIDIA has partnered with Red Hat to integrate and optimize NVIDIA Edge Stack with OpenShift, the leading enterprise-grade Kubernetes container orchestration platform. NVIDIA Edge Stack is optimized software that includes NVIDIA drivers, a CUDA® Kubernetes plugin, a CUDA container runtime, CUDA-X™ libraries and containerized AI frameworks and applications, including TensorRT™, TensorRT Inference Server and DeepStream. NVIDIA Edge Stack is optimized for certified servers and downloadable from the NVIDIA NGC™ registry.”

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