MWC Key Takeaways 2025
MWC 2025 KEY Takeaways Playlist 4 Videos The rise of NTNs – bringing NTN and terrestrial network communities together to deploy opportunities 2025 and beyond – from AI to APIs’…
MWC 2025 KEY Takeaways Playlist 4 Videos The rise of NTNs – bringing NTN and terrestrial network communities together to deploy opportunities 2025 and beyond – from AI to APIs’…
Wi-Fi Forum 2025 Playlist 15 Videos Design considerations for 6 GHz Pushing limits and creating new opportunities — Wi Fi 7 monetization roadmap Analyst insights — State of Wi Fi…
Test and Measurement Forum 2025 Playlist 11 Videos Opening Remarks Analyst insights – Test trends and challenges in the new era of next-gen networks Creating simplicity where there is complexity…
Telco Cloud and Edge Forum 2025 Playlist 10 Videos How can CSPs manage any application at the edge across a fragmented, multi cloud environment? Maximizing ROI: Real time OSS/BSS to…
Today’s top new focuses largely on AI expansion: Mistral rakes in a 1.3 billion Euro investment in support of European AI sovereignty, while LG lands a deal to provide cooling tech for data centers in the Middle East.
AI infrastructure is rapidly evolving across multiple fronts, as shown our top stories for today, which underscore both the supply constraints and massive investment commitments happening in the space.
AI infrastructure is shifting gears fast. OpenAI is moving beyond Nvidia, locking in a $10 billion deal with Broadcom to mass-produce its own chips from 2026.
Tech sovereignty and supply-chain control continues to be a major front in the global battle over AI. This really boils down to two approaches: Build up the domestic ecosystem options — as we see SAP doing in Europe, with a €20 billion investment to support cloud-based data sovereignty and AI adoption — while also trying to undercut your competitors, if you have the trade clout to do so.
That may be overstating it, but AI’s rapid acceleration is definitely reshaping global technology strategies. Today, we have three examples.
In today’s lead stories, we look at some of the big questions around AI and AI infrastructure. First — where are all these GPUs going, anyway? Nvidia’s disclosure that just two customers account for nearly 40% of its revenues sheds some light on why GPUs are so expensive and hard to come by.
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