Startups

Eight French organisations — including Capgemini, Orange, EDF, Iliad and Scaleway — have formally united under the AION consortium to bid for an EU AI Gigafactory designation, backed by approximately €10 billion in committed investment. The bid targets EuroHPC's live call for proposals, closing June 23, 2026, and is designed to demonstrate France's ability to anchor the full AI value chain. For telecom and enterprise IT leaders, AION signals a structural repositioning of European operators as sovereign AI infrastructure enablers, not merely connectivity providers.
A new alliance between SK Telecom (SKT), Arm, and Rebellions targets the fast-growing AI inference market with a server platform designed for sovereign AI and telecom-grade data centers. SKT will validate a new AI server that combines Arm’s AGI CPU—its first Arm-designed data center processor, based on Neoverse CSS V3—with Rebellions’ RebelCard inference accelerator in live AI data center environments. The partners will co-develop the full software stack, from firmware up, and test telco-specific models and large-scale workloads, including SKT’s proprietary foundation model, A.X K1. Industry focus is shifting from training to inference at scale, where energy, latency, and total cost of ownership (TCO) are decisive.
India’s AI agenda increasingly spans silicon, data platforms, models, and applications, with an intent to catalyze domestic innovation and contribute to global ecosystems. For telecom leaders, the message is clear: AI is not a bolt-on capability but a system-level transformation that touches RAN, core, transport, cloud, and the enterprise edge. The AI economy runs on connectivity—low-latency access to data, assured bandwidth, location-aware processing, and programmable control. The operators that can fuse connectivity, compute, and data into a cohesive platform will set the pace for India’s next wave of digital growth.
India is moving to anchor a larger slice of global AI compute by pairing policy incentives with large-scale private capital and renewable power. New Delhi has outlined plans to attract more than $200 billion for AI infrastructure over the next two years, positioning the country as a production base for compute, data, and advanced applications rather than a pure consumer market. The policy stack aims to reduce friction for export-oriented AI services while widening access to shared compute for startups and enterprises. Adani Group plans to invest $100 billion through 2035 to build renewable-powered, AI-optimized data centers across India.
Deutsche Telekom and T-Systems have switched on a sovereign, NVIDIA-powered AI factory in Munich’s Tucherpark, positioning Germany as a serious contender in industrial AI infrastructure. The new facility brings nearly 10,000 NVIDIA Blackwell GPUs online, including DGX B200 systems and NVIDIA RTX Pro Server GPUs, delivering up to 0.5 exaFLOPS of AI compute for training, fine-tuning, and large-scale inference. Operated by T-Systems on German soil, the platform targets industry, research, startups, and the public sector with strict controls for data protection, security, and availability. Early customers include Agile Robots, which is combining vision, robotics, and foundation models, and PhysicsX, which applies AI to technical simulation.
New Delhi has unveiled a sweeping tax holiday to capture the next wave of AI and cloud build-outs, positioning India as a long-term base for exporting compute. Foreign providers that deliver cloud and data center services to customers outside India will pay zero corporate tax on those revenues through 2047, provided workloads run from facilities in India. The budget also introduces a 15% cost-plus safe harbor for Indian data center units serving related foreign parties, simplifying transfer pricing for global delivery hubs. For cloud providers, it strengthens the business case to place GPU clusters, storage, and interconnect in India to serve overseas demand, not just local workloads.
The European Commission’s Digital Networks Act (DNA) is a sweeping proposal to harmonize telecom rules, catalyze next‑generation investment, and turn 27 national markets into a functional single market for connectivity. The DNA is timed to underpin an AI‑driven economy that depends on fiber, 5G/6G, and low‑latency cloud‑edge fabrics spanning borders. Longer licence durations and more flexible sharing are intended to reduce renewal risk and unlock investment in 5G densification and 6G prep. Mandatory national plans to phase out copper between 2030 and 2035 will free OPEX and energy, but require careful migration of regulated wholesale products, vulnerable users, and critical services.
A new impact study shows CTIA Wireless Foundation’s Catalyst program has touched 30 million Americans since 2019, underscoring how mobile-first tools can scale social outcomes faster than traditional interventions. The Foundation has invested just over $1 million in unrestricted grants yet reports benefits to nearly one in 12 Americans—evidence of the leverage that wireless distribution, app stores, messaging, and APIs can create when paired with practical problem-solving. More than 30 social entrepreneurs have received support through Catalyst, selected from over 800 applications across 46 states. For telecom leaders, the takeaway is clear: modest, well-targeted funding combined with mobile channels and carrier-grade networks can produce nonlinear impact, particularly in domains (public safety, health, mental health, road safety) where ubiquity and low friction matter more than heavy infrastructure.
5G standalone networks change the service model. Operators can carve the network into slices with distinct latency, reliability, and throughput characteristics validated by 3GPP standards. That enables ultra-reliable low-latency communications for factory automation, connected vehicles, remote operations, and mission-critical services. It also enables differentiated quality for cloud gaming, broadcast-like video, and IoT control loops when combined with edge computing and time-sensitive networking. Jio’s position is that treating all traffic identically under a single “internet access” umbrella can inhibit these new uses. A ruleset that preserves open internet principles for consumers yet explicitly allows specialized services with assured QoS for enterprises is what the company seeks.
Arm has expanded its Flexible Access licensing model to include its Armv9 edge AI platform, lowering the cost and friction for OEMs and startups to develop on-device AI at scale. The platform combines the ultra‑efficient Arm Cortex‑A320 CPU with the Arm Ethos‑U85 NPU, enabling on‑device inference for models with roughly billion‑parameter complexity while maintaining tight power budgets. Security is a first‑class feature set, with architectural protections such as Pointer Authentication, Branch Target Identification, and Memory Tagging to harden critical software at the edge. Availability is staged: Cortex‑A320 will enter Flexible Access in November 2025, followed by Ethos‑U85 in early 2026.
Ericsson has secured a three-year, $3 billion partnership with Export Development Canada (EDC) to expand R&D, fortify supply chains, and accelerate next‑gen network technologies with Canadian roots and global reach. The agreement arms Ericsson with EDC’s financing and insurance support to scale Canada-based projects in 5G, Cloud RAN, AI-driven network operations, and early quantum communications research while integrating Canadian suppliers into its international ecosystem. Over the term, Ericsson aims to deepen R&D executed across Ottawa, Montréal, and Toronto—where more than 3,100 employees work on 5G Advanced, 6G, quantum networking, and automation—expanding the country’s contribution to the vendor’s global product and standards roadmap.
India and the United Kingdom have launched the India–UK Connectivity and Innovation Centre to accelerate secure, AI-driven, and resilient telecom technologies over the next four years. The two governments committed an initial £24 million—roughly ₹250–₹282 crore depending on exchange rates—to fund applied research, joint testbeds, field trials, and standards contributions in emerging telecom domains. The investment concentrates on three pillars: AI in telecommunications, non-terrestrial networks (NTNs) for satellite and airborne connectivity, and telecoms cybersecurity with open, interoperable systems. The multi-year window aligns to the critical runway for 5G‑Advanced and early 6G experimentation.

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