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Cloud-native architecture and high-density baseband processing improves operational efficiency, performance and TCO

Herndon, VA., 20 October 2025 – ST Engineering iDirect, a global leader in satellite communications, today announced the general availability of Intuition 1.1, its next-generation ground system. Built on cloud-native, multi-orbit architecture, this release introduces advanced capabilities designed to unify satellite operations, enhance adaptability and maximize efficiency.

The foundation of Intuition is its efficient, cloud-native architecture, which reduces compute resource requirements and is further enhanced by high-density processing savings with the XBB baseband solution. Together, these elements can reduce hardware requirements by up to 70%, significantly lowering the total cost of ownership (TCO). Its modular, microservices-based design enables seamless, low-risk deployments, including rapid feature upgrades with minimal operational disruption, while flexible cloud deployment options ensure scalability, efficiency and performance for any operational need.

“Our vision with Intuition is to redefine agility and intelligent operations across the satellite industry,” said Sridhar Kuppanna, CTO and SVP of Engineering at ST Engineering iDirect. “With its cutting-edge architecture, robust APIs to facilitate analytics, and seamless readiness for 5G NTN, Intuition empowers customers to stay ahead in the rapidly changing connectivity landscape. Our agile development practice, and accelerated release delivery cycles will ensure that our customers have access to new capabilities and ongoing innovation to drive growth.”

Intuition 1.1 integrates ST Engineering iDirect’s award-winning Mx-DMA® MRC return waveform technology with global bandwidth management and advanced mobility, enabling dynamic multi-orbit bandwidth pooling, automated resource allocation and a faster response to network demands. This combination dramatically enhances performance, reduces costs and optimizes resource allocation to support growing connectivity requirements. Additionally, satellite network resource orchestration APIs further empower operators with comprehensive control over ground and space assets, enabling them to fully leverage advancements in software-defined satellites.

Intuition, paired with ST Engineering iDirect’s AI-powered analytics platform, drives advanced network optimization and operational performance. Designed for the future, Intuition enables seamless adoption of emerging 3GPP standards and sets the stage for 5G NTN roaming in upcoming releases. By deploying Intuition today, satellite operators can maximize their return on investment, support high-density growth and maintain readiness for the next wave of industry innovation.

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Media contact:
Martyn Gettings Tank PR
Email: martyn.gettings@tank.co.uk

21 October 2025

Allen & Gledhill advised Renew Group Private Limited (“RGPL”) on its sale of approximately 14.42% of the ordinary shares in UltraGreen.ai Private Limited to, among others, Anchor VI Pte. Ltd. (“65 Equity Partners”), Verde Taano Pte. Ltd. (“Vitruvian Partners”) and AGP Healthcare Fund VCC (“August Global Partners”), at an equity valuation of US$1.3 billion.

Advising RGPL was Allen & Gledhill Partner Rhys Goh.

[Paris, France, October 21, 2025] At the Network X telecom summit, leading research firm Omdia, together with Huawei and industry partners, released the Telco Cloud Manifesto: Building an Intelligent Telco Cloud Infrastructure for Service Innovation in the Mobile AI Era.

This marks the industry’s first white paper dedicated to the intelligent Telco Cloud, offering a fresh global perspective on telecom infrastructure and providing valuable guidance for operators as they transition into the AI era.

The white paper says the industry is moving toward 5G-A and AI, with Telco Cloud at the heart of this transformation. Around the world, operators are ramping up investments in container platforms and AI technologies while exploring how AI can improve core networks. Survey findings show that more than 60% of operators believe Telco Cloud should support AI training and inference tasks.

To meet this demand, telecom infrastructure must accelerate its evolution from being primarily based on general-purpose computing to AI infrastructure (AI-infra).

Over the past decade, cloudification of telecom networks has driven the adoption of layered architectures and expanded the technology choices of operators. But this shift has also introduced significant integration and O&M challenges, including time-consuming cross-vendor verification, complex cross-layer fault detection, CNF upgrade dependencies, and resource scheduling between VMs and containers. With the rise of AI applications, operators now face the added task of integrating heterogeneous computing power to optimize networks. This further increases system complexity.

In this context, as noted in the white paper, an increasing number of operators are choosing full-stack deployment solutions in order to balance cloud-native capabilities with operational simplicity. Key advantages of this approach include:

• Pre-integration that shortens the verification cycle and accelerates service rollout
• Unified automation frameworks that improve the efficiency of upgrades and O&M
• Direct Kubernetes upgrades to target versions, reducing maintenance costs
• System-level verification that ensures component compatibility and improves reliability
• End-to-end (E2E) performance optimization from the OS to the container platform and network elements (NEs), delivering an experience beyond what layered architectures can provide.

The white paper further emphasizes that future telecom infrastructure must address both evolution and performance. It should support a smooth transition from VMs to containers while protecting existing investments, while delivering carrier-grade performance through traffic offloading and hardware acceleration. To overcome the limitations of traditional CPU-centric architectures, the white paper advocates introducing high-speed peer-to-peer interconnection to converge general-purpose and intelligent computing. This allows for efficient collaboration across diverse computing resources.

In addition, the white paper calls for building an AI enablement platform that offers model management, scheduling, and acceleration capabilities. Such a platform will help operators rapidly develop and deploy AI applications, unlocking the full potential of network intelligence.

The white paper is available here: https://omdia.tech.informa.com/commissioned-research/articles/telco-cloud-manifesto

The release of this white paper signals the acceleration of the Telco Cloud’s evolution from cloud-native infrastructure to AI infrastructure. Additionally, it underscores the industry’s collective commitment to shaping the future of intelligent Telco Cloud. Huawei reaffirms its readiness to work with global partners to drive innovation and open a new chapter in the mobile AI era.