Reports
AI-generated structured vendor updates
Qualcomm and T-Mobile Deepen Collaboration to Accelerate 5G Advanced to 6G Transition
Qualcomm and T-Mobile announced an enhanced strategic collaboration focusing on AI-driven network optimization, Open RAN deployment, and 6G foundational R&D. The partnership combines chip, wireless technology, and network infrastructure strengths to improve performance and intelligence, advancing mobile ecosystem progress.
Apple Launches M5 Chip Family with Enhanced AI Performance and Storage
Apple introduces M5 series chips with 4x AI performance boost, MacBook Pro standard storage increased to 1TB-2TB, and Wi-Fi 7 support. Launches entry-level MacBook Neo with fanless design and custom chips, expanding low-price market.
NVIDIA Launches RTX PRO Server Virtualization for Game Development AI Infrastructure
NVIDIA introduces RTX PRO Server, a centralized virtualized GPU platform using RTX PRO 6000 GPU and vGPU software. It leverages MIG technology to partition a single GPU into up to 48 user instances, enhancing resource utilization and team collaboration. The solution integrates AI training with graphics workflows for dynamic resource allocation and unified cross-region development.
Ericsson Launches VICTOR6G Project for Industrial Network Virtualization
Ericsson launches VICTOR6G research project focused on real-time virtualization for industrial 6G networks. Collaborating with Nokia Bell Labs and others, it aims to use AI and machine learning for dynamic resource allocation to meet industrial automation's low-latency and high-reliability demands.
Ericsson Defines Native Intelligence Paradigm for 6G IoT Networks
Ericsson proposes 6G massive IoT should evolve from traditional connectivity to intelligent networks with deep integration of sensing, communication and computing, supporting tens of millions of devices per km² and decades of battery life using reconfigurable intelligent surfaces and AI-native air interface.
Ericsson Deepens 5G Advanced and AI-Native Network Collaboration with FarEasTone
Ericsson signs a three-year strategic agreement with FarEasTone to advance 5G Advanced deployment and AI-native network R&D. The collaboration includes key technologies like network slicing, URLLC, and RedCap, enabling Industrial 4.0 and smart city applications. Both parties will jointly research 6G and AI-driven network automation.
TSMC Discloses 2nm and Beyond Technology Roadmap
TSMC announces its 2nm (N2) process will adopt GAAFET architecture replacing FinFET, with plans for subsequent A-series nodes. The technology targets performance and efficiency gains for HPC and mobile applications, leveraging new materials and 3D packaging for AI and 5G/6G demands.
Ericsson and Intel Collaborate on AI-Native 6G Network Architecture
Ericsson and Intel announced a strategic collaboration to develop AI-native 6G network architecture and air interface. The partnership integrates Intel's hardware platforms with Ericsson's wireless expertise to embed AI at the network foundation. This aims to enhance network performance, efficiency, and automation for commercial deployment around 2030.
Ericsson Wins GTI Award for Intent-Aware Slicing Technology
Ericsson received GTI's mobile technology innovation award for intent-aware slicing. The technology automates translation of business intent into network configurations, simplifying 5G slice management. It represents a key innovation in Ericsson's push toward fully automated network operations.
AT&T and Ericsson Deploy AI-Native Software for Cloud RAN Optimization
AT&T and Ericsson deployed AI-native software on Intel Xeon 6 SoC to enhance Cloud RAN performance through real-time analysis and intelligent scheduling. The solution leverages integrated AI acceleration to dynamically optimize network capacity and energy efficiency, supporting AT&T's transition to open programmable network architecture.
Nokia Demonstrates AI-RAN Integration Architecture Evolution
Nokia showcased its AI-on-RAN concept at MWC, integrating AI deeply into radio access networks for real-time traffic analysis, predictive maintenance and dynamic resource allocation. This represents a strategic shift of network intelligence from core to edge, positioning it as a key evolution step towards 6G.
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 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.
Apple Launches iPhone 17e: Doubles Performance with In-House C1X Modem, Holds $599 Starting Price
Apple launched the iPhone 17e, featuring its in-house C1X cellular modem, which doubles the speed and improves energy efficiency by 30% compared to its predecessor. The model also includes the A19 chip and doubles the base storage to 256GB while maintaining the same starting price, aiming to strengthen its competitiveness in the premium entry-level segment.
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.
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.
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.
Meta and AMD Form 6GW AI Infrastructure Strategic Partnership
Meta announced a multi-year strategic partnership with AMD to deploy up to 6GW of AMD Instinct GPU computing capacity. The collaboration involves multi-generational integration of AMD GPUs, EPYC CPUs, and jointly developed Helios rack architecture, supporting Meta's diversified computing strategy. First deployments are scheduled for late 2026.