NVIDIA Introduces EGX Edge Supercomputer


A couple of weeks ago at the Mobile World Congress event in Los Angeles, NVIDIA unveiled its EGX Edge Supercomputing platform. The product is designed for all edge applications including, but not limited to, artificial intelligence and internet of things. This was the first time NVIDIA has been part of a Mobile World Congress.

EGX is a reference design that other server manufacturers can use to roll out a validated design for edge computing solutions using NVIDIA GPUs. Cisco, Fujitsu, Lenovo, HPE and others have been confirmed as partners. Powered by NVIDIA’s CUDA Tensor Core GPU, it offers cryptographic acceleration, networking for Mellanox, NVMe over TCP and RDMA for storage, an industrial-strength cloud native stack, and hardened AI software.

Computing is moving to where the data resides, and this will take power. 5G is one of the key enablers of edge computing. 5G brings multi-gigabit speeds to wireless and enables more data to be processed in more places. One view is that all data can be processed in the cloud, but that doesn’t work in for everyone.

Another factor behind edge computing is the rise of the IoT. We live in a world were literally everything is connected and creating massive amounts of data to be analyzed. Most traditional computing platforms don’t have the horsepower for AI with large data sets.

The NVIDIA Edge Stack software is optimized for real-time AI uses cases, such as video analytics, video, speech and audio as well as Red Hat OpenShift for Kubernetes container orchestration. EGX also has support for NVIDA Metropolis, which is an IoT-optimized ecosystem for smart cities, smart factories, traffic engineering, retail and other places where large amounts of sensor data are being pulled in and analyzed.

The edge is where the emerging action is today and where the mainstream action will be soon. The cloud isn’t going away, but more and more businesses will deploy edge computing solutions to analyze data in more places. The GPU based EGX is ideally suited for many of the advanced edge use cases.

Source: Zeus Kerravala, eWeek, November 01, 2019.

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