{"id":39010,"date":"2019-05-28T09:34:48","date_gmt":"2019-05-28T09:34:48","guid":{"rendered":"http:\/\/icloud.pe\/blog\/?guid=d5619ac4da75dbcfeea7002fb7ca49ec"},"modified":"2019-05-28T09:34:48","modified_gmt":"2019-05-28T09:34:48","slug":"nvidia-launches-edge-platform-to-ramp-up-ai-and-iot-data-processing","status":"publish","type":"post","link":"https:\/\/icloud.pe\/blog\/nvidia-launches-edge-platform-to-ramp-up-ai-and-iot-data-processing\/","title":{"rendered":"Nvidia launches edge platform to ramp up AI and IoT data processing"},"content":{"rendered":"


\n Keumars Afifi-Sabet<\/a><\/span>
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28 May, 2019<\/span><\/div>\n<\/p><\/div>\n<\/div>\n

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Nvidia has launched an edge computing platform to give businesses a greater swathe of tools to perform heavier processing workloads from data derived from Internet of Things (IoT) devices.<\/p>\n

By establishing a multitude of edge servers across the world, the chip manufacturer is hoping that firms in industries like healthcare and manufacturing can process their data instantaneously to improve business operations.<\/p>\n

This is in light of an expected explosion in IoT devices within the next few years, and the data the monumental amount of data the\u00a0ecosystem will produce.<\/p>\n

Nvidia’s EGX platform is touted as being able to perceive, understand and act in real-time on continuous data streaming between 5G base stations, warehouses, retail stores, factories, and other locations.<\/p>\n

“Enterprises demand more powerful computing at the edge to process their oceans of raw data – streaming in from countless interactions with customers and facilities – to make rapid, AI-enhanced decisions that can drive their business,” said Bob Pette, vice president and general manager of Enterprise and Edge Computing at NVIDIA.<\/p>\n

“A scalable platform like NVIDIA EGX allows them to easily deploy systems to meet their needs on premises, in the cloud or both.”<\/p>\n

The device at the heart of Nvidia’s new edge servers is the company’s Jetson Nano, a small module that can enable the development of low-power AI systems. Nvidia says this device can provide 500 billion operations per second using just a few watts of power, for tasks like image recognition.<\/p>\n

As part of the project, Nvidia has also teamed up with Red Hat to integrate and optimise its Edge Stack software with OpenShift, a container application platform. Mellanox and Cisco’s security, networking and storage technologies have also fed into the edge platform.<\/p>\n

It will also be offered through major public cloud providers, including Amazon Web Services (AWS) and Microsoft’s Azure platform, with users able to remotely manage their Nvidia Edge Stack service.<\/p>\n

Nvidia’s AI research has spanned a number of industries, including healthcare, with the firm previously announcing a partnership with King’s College London to build an AI platform to automate radiology.<\/p>\n

Nvidia’s EGX platform has already been at the heart of developing a number of healthcare-related software packages, the company says, as well as applications suitable for large retail chains and organisations involved in smart city development. <\/p>\n<\/p><\/div>\n","protected":false},"excerpt":{"rendered":"

Keumars Afifi-Sabet<\/p>\n

28 May, 2019 <\/p>\n

Nvidia has launched an edge computing platform to give businesses a greater swathe of tools to perform heavier processing workloads from data derived from Internet of Things (IoT) device…<\/p>\n","protected":false},"author":433,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[],"tags":[],"class_list":["post-39010","post","type-post","status-publish","format-standard","hentry"],"_links":{"self":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/39010","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/users\/433"}],"replies":[{"embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/comments?post=39010"}],"version-history":[{"count":1,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/39010\/revisions"}],"predecessor-version":[{"id":39011,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/posts\/39010\/revisions\/39011"}],"wp:attachment":[{"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/media?parent=39010"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/categories?post=39010"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/icloud.pe\/blog\/wp-json\/wp\/v2\/tags?post=39010"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}