NTT, Red Hat, NVIDIA, and Fujitsu collaborate on a real-time AI data analysis solution, based on Red Hat OpenShift, recognized for its practicality and use cases.
As part of the Innovative Optical and Wireless Network (IOWN) initiative, NTT Corporation (NTT), Red Hat, Inc., NVIDIA, and Fujitsu have collaborated to collectively create a solution to increase and enhance the potential for real-time artificial intelligence (AI) data processing at the edge. This solution has been recognized with an IOWN Global Forum Proof of Concept (PoC) 1 for its practicality and use cases. It is based on Red Hat OpenShift, the industry's top hybrid cloud application platform powered by Kubernetes, and uses technologies developed by the forum.
AI analysis is crucial for network edge evaluation and prioritization due to advancements in AI, sensing technologies, and networking innovation. However, large-scale AI analysis can be laborious and expensive. AI analysis can be positioned closer to sensors, reducing latency and boosting bandwidth as edge computing capabilities expand to remote areas.
The IOWN All-Photonics Network (APN) is a data pipeline for AI that uses Remote Direct Memory Access (RDMA) to efficiently gather and process large volumes of sensor data. Red Hat OpenShift3's container orchestration technology allows users to manage workloads across geographically dispersed data centers, reducing power consumption and retaining lower latency for edge real-time AI analysis, as demonstrated by NTT and Red Hat.
