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Data Center News > Blog > Edge Computing > NTT, Red Hat, NVIDIA, Fujitsu unveil new edge AI solution for real-time data analysis
Edge Computing

NTT, Red Hat, NVIDIA, Fujitsu unveil new edge AI solution for real-time data analysis

Last updated: March 5, 2024 12:10 am
Published March 5, 2024
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In collaboration beneath the Progressive Optical and Wi-fi Community (IOWN) initiative, NTT Company (NTT) and Pink Hat, NVIDIA and Fujitsu, have launched an answer aimed toward advancing real-time synthetic intelligence (AI) knowledge evaluation on the community’s edge.

The event, constructed upon applied sciences championed by the IOWN Global Forum and leveraging the infrastructure of Red Hat OpenShift, has earned recognition from the IOWN World Discussion board’s Proof of Idea (PoC) for its sensible viability and utility potential.

The newly launched resolution includes the IOWN All-Photonics Community (APN) and knowledge pipeline acceleration applied sciences throughout the IOWN Knowledge-Centric Infrastructure (DCI). NTT’s accelerated knowledge pipeline for AI leverages Distant Direct Reminiscence Entry (RDMA) over APN to assemble and course of sensor knowledge on the edge.

Pink Hat OpenShift’s container orchestration expertise goals to boost operational flexibility by enabling workload deployment throughout geographically dispersed and distant knowledge facilities, in line with the businesses. Demonstrations by NTT and Pink Hat have showcased the answer’s capability to attenuate energy consumption whereas sustaining low latency for real-time AI evaluation on the edge.

“As AI, sensing expertise and networking innovation continues to speed up, utilizing AI evaluation to evaluate and triage enter on the community’s edge might be vital, particularly as knowledge sources broaden virtually each day,” the corporate notes in a written launch.

“Utilizing AI evaluation on a big scale, nonetheless, may be sluggish and complicated, and may be related to larger upkeep prices and software program maintenance to onboard new AI fashions and extra {hardware}. With edge computing capabilities rising in additional distant areas, AI evaluation may be positioned nearer to the sensors, decreasing latency and rising bandwidth.”

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Highlights of the proof of idea embody NTT’s accelerated knowledge pipeline for AI inference, real-time AI knowledge evaluation facilitated by Pink Hat OpenShift, and NVIDIA A100 Tensor Core GPUs and NVIDIA ConnectX-6 NICs for AI inference.

Pink Hat on navigating the frontiers of knowledge with observability on the edge

Pink Hat takes on low-resource challenges with Gadget Edge platform

Associated

knowledge  |  edge AI  |  Fujitsu  |  IOWN  |  NTT  |  Nvidia  |  Pink Hat

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TAGGED: Analysis, data, edge, Fujitsu, Hat, NTT, Nvidia, realtime, Red, solution, unveil
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