SoftBank boosts network efficiency with AI-RAN and Red Hat OpenShift

SoftBank, Japan's leading mobile operator by data volume, is leveraging AI-RAN technology to enhance asset utilization in its dense network. The company is focusing on coordination to optimize spectrum and computing infrastructure. It uses Red Hat OpenShift to improve power consumption and networking performance.

SoftBank handles the largest amount of data among Japan's mobile operators, operating in a highly congested network environment where effective coordination plays a crucial role. To address these challenges, SoftBank has adopted AI-RAN, a technology aimed at increasing the utilization of assets across spectrum and computing infrastructure.

This approach is part of broader efforts to streamline operations in Japan's competitive telecom landscape. According to a post by Red Hat, SoftBank's implementation of AI-RAN helps in managing the complexities of a densely packed network.

Further details highlight how SoftBank is optimizing power consumption and overall networking performance through the integration of Red Hat OpenShift. This platform enables better resource management and efficiency gains.

The announcement coincides with discussions at MWC26, as indicated by the hashtag in the post. For more information on SoftBank's strategies, resources are available via Red Hat's shared link.

This development underscores ongoing innovations in mobile telecommunications, particularly in data-heavy markets like Japan.

관련 기사

Photo of Red Hat announcing OpenShift 4.20 at KubeCon, featuring stage presentation with AI and security visuals, and an engaged audience.
AI에 의해 생성된 이미지

Red Hat announces OpenShift 4.20 at KubeCon

AI에 의해 보고됨 AI에 의해 생성된 이미지

At KubeCon + CloudNativeCon, Red Hat unveiled OpenShift 4.20, a new version of its platform aimed at unifying enterprise IT from legacy virtual machines to AI workloads. The release emphasizes enhanced security, accelerated AI capabilities, and expanded virtualization support. Additional announcements highlight customer efficiencies and open-source advancements.

삼성전자와 KT가 6G 인공지능 무선접속망(AI-RAN) 기술의 상용 네트워크 상 안정적 운영을 입증하며 실세계 조건에서의 실효성을 확인했다. 성남시 일부 지역에서 약 1만8000명 사용자 대상으로 실시된 현장 테스트 결과, 이 기술이 사용자별 최적 설정을 자동 적용해 연결 문제를 피할 수 있음이 증명됐다.

AI에 의해 보고됨

Announced on January 5, 2026, at CES2026, Red Hat and NVIDIA have launched a collaboration to synchronize enterprise open source software, including Red Hat Enterprise Linux (RHEL), with NVIDIA's rack-scale AI systems like the Rubin platform. The partnership provides Day 0 support, validated interoperability, enhanced security, and plans for expansion to OpenShift and Red Hat AI.

SUSE and Parallel Wireless are presenting their GreenRAN platform on SUSE Telco Cloud at Mobile World Congress 2026. The demonstration highlights a high-performance, energy-efficient solution for radio access networks. Visitors can view the live demo at Hall 2, Stand 2C31.

AI에 의해 보고됨

NVIDIA's Rubin platform marks a new era in AI, emphasizing integrated reasoning and coordination over mere computational power. The company has partnered with SUSE to integrate this platform with SUSE's Linux and Rancher management tools. This collaboration aims to provide a robust foundation for scaling AI operations in enterprises.

일본 경제산업성은 국내 기업의 머신러닝용 대량 데이터 처리에 재정 지원을 제공한다. 제조업 데이터에 초점을 맞춰 국산 AI 성능을 강화하고 제품 경쟁력 및 생산성을 높인다. 2026 회계연도부터 5년간 1조 엔을 투자할 계획이다.

AI에 의해 보고됨

A new report reveals that 69% of Japanese organizations have seen increased impact from open source over the past year. The State of Open Source in Japan 2025 examines leadership areas, governance and security gaps, and ties to competitiveness and talent attraction. It underscores open source's role in digital transformation.

 

 

 

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