Reports
AI-generated structured vendor updates
AT&T and AWS Launch Last-Mile Interconnect for AI Workloads
AT&T and AWS collaborate on AWS Interconnect – last mile preview, extending AT&T's 5G and fiber networks directly to AWS cloud for end-to-end secure architecture. Designed for low-latency, data-intensive AI workloads like real-time analytics and machine learning. Customers can configure last-mile connections directly in AWS environment, with availability planned for Q2 2026 in select regions.
Intel Demonstrates Xeon 6 Unified Platform for AI-Ready Network Architecture
Intel demonstrated a unified compute platform based on Xeon 6 processors at MWC 2026, enabling Cloud RAN, AI inference and media processing on the same CPU. This architecture eliminates need for specialized hardware, providing smooth transition from 5G to AI-native 6G.
Samsung Wins Rakuten Mobile Japan Nationwide Open RAN 5G Equipment Order
Samsung Electronics will provide O-RAN compliant 5G radio equipment to Rakuten Mobile Japan, including 700MHz low-band, 1.7GHz mid-band, and 3.8GHz massive MIMO solutions. The equipment will integrate into Rakuten's fully virtualized cloud-native Open RAN network for nationwide 5G deployment.
Samsung and Vodafone Validate vRAN Solution on Intel Xeon 6 SoC
Samsung and Vodafone successfully tested a vRAN solution on Intel Xeon 6 SoC, supporting multi-generation networks and AI applications. The software-driven, cloud-native architecture enhances performance and reduces costs, with commercial deployment planned for 2026.
Cisco Launches Mobile Services Platform Strategy for AI-Era Network Transformation
Cisco introduces a mobile services platform strategy integrating IoT-as-a-Service, programmable core, and mobile service gateway, enabling migration from 2G to 5G Advanced towards AI-native architecture. The platform implements AI-wireless bidirectional strategy with NVIDIA and joins open standards projects for cloud-native frameworks.
Ericsson and Intel Collaborate on AI-Native 6G Network Architecture
Ericsson and Intel announced deepened collaboration to advance AI-native 6G from research to commercialization. The partnership integrates wireless access network, packet core, and cloud RAN technologies with focus on AI-driven architecture. It aims to create open and efficient 6G development path using Intel Xeon processors and advanced process nodes.
AT&T Integrates Fiber Network with AWS Cloud AI Infrastructure
AT&T migrates local workloads to AWS Outposts hybrid cloud and uses its fiber network to connect AWS data centers for enhanced AI application support. Expands coverage via Amazon LEO satellites for end-to-end connectivity infrastructure.
Samsung and AMD Deepen Collaboration for AI-Network Commercial Deployment
Samsung and AMD advance their collaboration on 5G core and vRAN to commercial phase, using AMD EPYC 9005 CPUs for AI-driven network solutions. Technical validation shows AI vRAN achieves commercial-grade performance on software-only stacks, reducing hardware dependency. Partnership extends to edge AI, including video analytics and ISAC sensing.
NVIDIA Collaborates with Partners to Define Software-Defined AI-RAN Architecture
NVIDIA partners with multiple companies to introduce software-defined AI-RAN solution, integrating AI capabilities into wireless network edge and core through GPU-accelerated computing platform. The cloud-native architecture enables intelligent network resource management, improves spectral efficiency, reduces energy consumption, and lays foundation for 6G evolution.
NVIDIA Collaborates with Telecom Giants on AI-Native 6G Open Platform
NVIDIA partners with telecom operators and equipment providers to build an open, secure AI-native platform for 6G networks, integrating AI throughout network design, deployment, and operations. The platform emphasizes open software/hardware architecture and security resilience for immersive communications and pervasive computing.
NVIDIA Releases Agentic AI Blueprint and Inference Models for Telecom
NVIDIA introduces Agentic AI blueprint and specialized inference models for telecom, built on NeMo framework to autonomously handle network operations. The solution lowers deployment barriers through pre-trained models, advancing telecom networks toward autonomous architecture.
Samsung and NVIDIA Complete Multi-Cell AI-RAN Test with Chip-Level Integration
Samsung validated integrated vRAN software with NVIDIA's accelerated computing platform in real network environments, demonstrating AI algorithm optimization for wireless physical layer performance. The collaboration extends to chip-level architecture using unified processors to optimize CPU-GPU connectivity for spectrum efficiency.
Telenor Deploys Cloud-Native Nordic TV Platform with AWS and Scalstrm
Telenor built a unified cloud-based streaming origin platform with AWS and Scalstrm, leveraging AWS cloud capabilities, Direct Connect for low latency, and PB-scale storage, combined with Scalstrm's IaC cloud-native technology. The platform supports live TV, catch-up, VOD, and nPVR, enhancing scalability and reducing operational costs.
Microsoft Launches Unified AI Platform for Telecom, Integrating Azure AI with Telecom Cloud
Microsoft introduced a unified AI platform for telecom at MWC 2026, integrating generative AI, operational technology, and communication technology. The platform emphasizes trust and unification, deeply integrating Azure AI services, security capabilities, and telecom cloud products to optimize network operations and customer experience.
Samsung Expands Smartphone Satellite Connectivity to Strengthen AI Infrastructure
Samsung partners with telecom operators in North America, Europe, and Japan to expand satellite connectivity for Galaxy smartphones, supporting emergency services and data functions. This enhances reliability for AI-era experiences, with phased rollouts based on regional regulations.
Samsung and Orange Deepen vRAN Collaboration with Intel Xeon 6 SoC for AI-Enhanced Network Deployment
Samsung and Orange are expanding vRAN and Open RAN deployment in Europe using Intel Xeon 6 SoC and AI-powered vRAN solutions. The architecture enables high-capacity configuration via a single server, optimizing space, performance, and power consumption, while supporting unused compute for AI and edge applications. The collaboration moves from pilot validation to scaling, with plans to expand by 2026.
NVIDIA Survey Shows Significant ROI Growth in Telecom Network AI Automation
NVIDIA's telecom industry survey reveals AI as a core driver of network automation. The survey predicts significant ROI for telecom operators by 2026, with applications in traffic prediction, fault diagnosis, and energy efficiency. Growing demand for high-performance computing infrastructure drives investments in GPU acceleration and dedicated AI platforms.
Cisco and AT&T Deepen 5G SA IoT Platform Collaboration
Cisco and AT&T announced a deepened strategic partnership to launch a 5G SA-native IoT platform, integrating AT&T's 5G core with Cisco's mobile service platform. The platform offers network slicing, application-aware optimization, and local traffic steering for demanding IoT use cases like connected cars and smart cities.
NVIDIA and SK hynix Co-Architect Next-Gen Memory for AI Factories, Locking HBM4 to Vera Rubin
NVIDIA and SK hynix announce a multi-year tech partnership to co-develop next-gen memory for Vera Rubin, RTX Spark, and Jetson Thor. Separately, SK Telecom deploys a gigawatt-scale AI cloud using the full DGX stack, targeting 2027. This elevates SK hynix from supplier to co-architect, strengthening NVIDIA's lock-in on HBM and the AI ecosystem.
US Orders Anthropic to Globally Shutdown Fable 5 and Mythos 5: AI Export Control Escalates
On June 22, 2026, the US government ordered Anthropic to globally shut down its most advanced models, Fable 5 and Mythos 5, citing their autonomous cyberattack capability (ExploitBench 78.0%). This extends export controls from hardware to model weights, marking a new era of sovereign AI governance.