At MWC Los Angeles 2019, NVIDIA announced major partnerships on their EGX edge computing platform with Microsoft, Ericsson and Red Hat to accelerate AI, IoT and 5G at the Edge.
Catch the official NVIDIA EGX briefing on these new updates, and find out what it means for edge computing!
The Official NVIDIA EGX Briefing @ MWC Los Angeles 2019
Before the official announcement, NVIDIA gave us an exclusive briefing on their EGX edge computing platform. We are sharing it with you, so you can hear it directly from Justin Boitano, General Manager of NVIDIA’s Enterprise & Edge Computing division.
Here is a summary of what NVIDIA unveiled at MWC Los Angeles 2019 :
NVIDIA EGX Early Adopters
NVIDIA actually announced EGX at Computex Taipei in June 2019 – a combination of the NVIDIA CUDA-X software and NVIDIA-certified GPU servers and devices.
Now, they are announcing that Walmart, BMW, Proctor & Gamble, Samsung Electronics and ETT East have adopted the EGX platform, and so have the cities of San Francisco and Las Vegas.
- Samsung Electronics — The Korean electronics giant is using AI at the edge for highly complex semiconductor design and manufacturing processes.
- BMW — The German automaker is using intelligent video analytics in its South Carolina manufacturing facility to automate inspection. With EGX gathering data from multiple cameras and other sensors in inspection lines, BMW is helping ensure only the highest quality automobiles leave the factory floor.
- NTT East — The Japanese telecom services giant is using EGX in its data centers to develop new AI-powered services in remote areas through its broadband access network. Using the EGX platform, NTT East will provide remote populations the computing power and connectivity required to build and deploy a wide range of AI applications at the edge.
- Procter & Gamble — The world’s leading consumer goods company is working with NVIDIA to develop AI-enabled applications on top of the EGX platform for the inspection of products and packaging to help ensure they meet the highest safety and quality standards. P&G is using NVIDIA EGX to analyze thousands of hours of footage from inspection lines and immediately flag imperfections.
- Las Vegas — The city is using EGX to capture vehicle and pedestrian data to ensure safer streets and expand economic opportunity. Las Vegas plans to use the data to autonomously manage signal timing and other operational capabilities.
- San Francisco — The city’s Union Square Business Improvement District is using EGX to capture real-time pedestrian counts for local retailers, providing them a powerful business intelligence tool for engaging with their customers more effectively.
NVIDIA EGX Case Study : Walmart
Walmart is a pioneer user of EGX, deploying it in its Levittown, New York, Intelligent Retail Lab — a fully-operational grocery store where it’s exploring the ways AI can further improve in-store shopping experiences.
Using EGX’s advanced AI and edge capabilities, Walmart is able to compute in real time more than 1.6 terabytes of data generated each second, and can use AI to :
- automatically alert associates to restock shelves,
- open up new checkout lanes,
- retrieve shopping carts, and
- ensure product freshness in meat and produce departments.
NVIDIA EGX Partnership With Microsoft
NVIDIA announced a collaboration with Microsoft to enable the closer integration between Microsoft Azure and the NVIDIA EGX platform, to advance edge-to-cloud AI computing capabilities for their clients.
The NVIDIA Metropolis video analytics application framework, which runs on EGX, has been optimized to work with Microsoft’s Azure IoT Edge, Azure Machine Learning solutions and a new form factor of the Azure Data Box Edge appliance powered by NVIDIA T4 GPUs.
In addition, NVIDIA-certified off-the-shelf servers — optimised to run Azure IoT Edge and ML services — are now available from more than a dozen leading OEMs, including Dell, Hewlett Packard Enterprise and Lenovo.
NVIDIA EGX Partnership With Ericsson
NVIDIA also announced that they are collaborating with Ericsson on developing virtualised RAN technologies.
Their ultimate goal is to commercialise those virtualised RAN technologies to deliver 5G networks with flexibility and shorter time-to-market for new services like augmented reality, virtual reality and gaming.
NVIDIA EGX Partnership With Red Hat
Finally, NVIDIA announced a collaboration with Red Hat to deliver software-defined 5G wireless infrastructure running on Red Hat OpenShift to the telecom industry.
Their customers will be able to use NVIDIA EGX and Red Hat OpenShift to deploy NVIDIA GPUs to accelerate AI, data science and machine learning at the edge.
The critical element enabling 5G providers to move to cloud-native infrastructure is NVIDIA Aerial. This software developer kit, also announced today, allows providers to build and deliver high-performance, software-defined 5G wireless RAN by delivering two essential advancements.
They are a low-latency data path directly from Mellanox network interface cards to GPU memory, and a 5G physical layer signal-processing engine that keeps all data within the GPU’s high-performance memory.
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