SoftBank Corp. Develops Orchestrator to Operate AI and vRAN on the Same Virtualized Infrastructure

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(Graphic: Business Wire)
(Graphic: Business Wire)

TOKYO, November 13, 2024--(BUSINESS WIRE)--SoftBank Corp. (TOKYO:9434, "SoftBank") announced it developed the orchestrator that enables AI applications and vRAN (virtualized Radio Access Network) applications to operate on the same virtualized infrastructure, a key concept of AI-RAN. This advancement enables the deployment of high-capacity, high-performance, and high-quality vRAN at a carrier-grade level on virtualized infrastructure running on GPU (Graphics Processing Unit) computing, including the NVIDIA GH200 Grace Hopper Superchip platform. Additionally, the orchestrator enables the integration and provision of various AI applications, such as generative AI, on the same platform.

There are challenges in operating AI and vRAN on the same infrastructure, as service level agreements (SLAs) and server configurations differ depending on the type of workload. To address these challenges, SoftBank developed the orchestrator that enables control over infrastructure settings to meet the specific kernel and requirements of each workload. This solution is expected to deliver a highly operational and cost-effective platform. In addition to AI applications developed by SoftBank, the serverless API powered by NVIDIA AI Enterprise is also integrated with the orchestrator, enabling users to run their own AI applications on the AI-RAN virtualized infrastructure.

AI and vRAN applications have distinct characteristics, requiring simultaneous optimization. For example, vRAN must control radio functions, which demands ultra-low-latency processing, whereas AI applications require efficient memory management for large data volumes and the ability to handle multiple workloads with optimal placement.

To operate such diverse applications on a unified computing platform, SoftBank developed the orchestrator by building a virtualized infrastructure using Red Hat OpenShift. This orchestrator efficiently manages resources, allowing AI and vRAN applications, as well as the orchestrator itself, to run seamlessly on Red Hat OpenShift. As a result, the platform can optimize performance based on real-time resource availability within the virtualized infrastructure.

Key Features of the Orchestrator

  • Optimal matching algorithm that considers deployment requests from users, demand forecasts, and resource availability on the supply side

  • Dynamic infrastructure resource adjustments based on the above algorithm

  • Centralized management of multi-cluster environments to support a distributed AI data center concept

  • Comprehensive management of configuration and resource status for all clusters and servers distributed across Japan