Cisco smooths AI adop­tion with new ded­i­cated server

Cisco UCS server speeds up deep learn­ing, a com­pute-in­ten­sive form of ma­chine learn­ing and pow­ered by NVIDIA GPUS

Network Middle East - - // UPDATE / OCTOBER -

Cisco has un­veiled its first ever server built specif­i­cally for ar­ti­fi­cial in­tel­li­gence (AI) and ma­chine learn­ing (ML) work­loads.

The new Cisco UCS server is de­signed to speed up deep learn­ing, a com­pute-in­ten­sive form of ma­chine learn­ing that uses neu­ral net­works and large data sets to train com­put­ers for com­plex tasks. Packed with pow­er­ful NVIDIA GPUS, it is built to ac­cel­er­ate avail­able ma­chine learn­ing soft­ware stacks.

“Over the next few years, apps pow­ered by ar­ti­fi­cial in­tel­li­gence and ma­chine learn­ing will be­come main­stream in the en­ter­prise. While this will solve many com­plex busi­ness is­sues, it will also cre­ate new chal­lenges for IT,” said Roland Acra, SVP and GM for Cisco’s Data Cen­ter Busi­ness Group. “The ad­di­tion to the Cisco UCS lineup will power AI ini­tia­tives across a wide range of in­dus­tries.

“Our early-ac­cess cus­tomers in the fi­nan­cial sec­tor are ex­plor­ing ways to im­prove fraud de­tec­tion and en­hance al­go­rith­mic trad­ing. Mean­while, in health­care, they’re in­ter­ested in bet­ter in­sights and di­ag­nos­tics, im­prov­ing med­i­cal im­age clas­si­fi­ca­tion, and speed­ing drug dis­cov­ery and re­search,” Acra adds.

Ar­ti­fi­cial in­tel­li­gence (AI) and ma­chine learn­ing (ML) are open­ing up new ways for en­ter­prises to solve com­plex prob­lems. But they will also have a pro­found ef­fect on the un­der­ly­ing in­fra­struc­ture and pro­cesses of IT. Ac­cord­ing to Gart­ner, “only 4% of CIOS world­wide re­port that they have AI projects in pro­duc­tion.” That num­ber will grow dra­mat­i­cally over the next few years. And when it does, IT will strug­gle to man­age new work­loads, new traf­fic pat­terns, and new re­la­tion­ships within their busi­ness.

With the ad­di­tion of the Cisco UCS C480 ML, Cisco now cov­ers data col­lec­tion and anal­y­sis near the edge, data prepa­ra­tion and train­ing in the data cen­tre, to real-time in­fer­ence that is at the heart of AI.

Apps pow­ered by ar­ti­fi­cial in­tel­li­gence and ma­chine learn­ing will be­come main­stream in the en­ter­prise, Acra says.

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