AI infrastructure is being built at breakneck speed, and the strategies are diverging. At the hyperscale end, Meta just signed a reported $10 billion deal with Google Cloud to secure the compute power for its 1.3 million GPU ambitions. At the other end of the stack, Crusoe is buying Atero to squeeze more efficiency out of GPUs and expand into the Middle East — proof that innovation in optimization is just as vital as scaling capacity. And of course, none of this matters if networks can’t keep pace: CSPs are now rethinking antennas and orchestration to prepare for the agentic AI era. More below!
Juan Pedro Tomas
Editor
RCRTech
AI Infrastructure Top 3
Google Cloud, Meta $10B AI compute deal: Meta has signed a $10 billion, six-year deal with Google Cloud to fuel its AI expansion, boosting Google’s battle with AWS and Azure.
Crusoe expands to Middle East: Crusoe has acquired Israeli GPU optimization startup Atero, boosting AI infrastructure performance on Crusoe Cloud while opening its first Middle East office in Tel Aviv to expand talent and customer reach.
The AI task for telcos: Operators must evolve with multi-capability networks, advanced antennas, and orchestration to meet agentic AI demands, rising data usage, new device types, and high-throughput.
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AI Today: What You Need to Know
Equinix issues S$650M bonds: Equinix has raised S$650 million ($480 million) in its second Singapore green bond issuance, bringing its global green financing to $9.5 billion to fund energy-efficient, renewable-powered and AI-ready data center projects aligned with the Singapore Green Plan 2030.
LG powers Jakarta AI hub: LG Electronics has been selected to provide advanced cooling systems for a major AI data center in Jakarta reinforcing its role as provider of sustainable HVAC solutions for mission-critical infrastructure.
Blackstone–Aligned hit $1B: Blackstone Credit & Insurance has expanded its financing partnership with Aligned Data Centers, pushing commitments past $1 billion to back more than 5 GW of planned capacity as AI, cloud, and enterprise demand drives large-scale digital infrastructure growth.
Thailand capacity to triple: Thailand’s data center capacity is set to triple to 1 GW by 2027 as $6.5 billion in investments flow in from Google, Microsoft, Amazon and Nvidia, boosting Southeast Asia’s AI and cloud competitiveness.
Six AI infra hotspots: A global look at the most AI-ready data center locations highlights the U.S., Canada, Nordic countries, Singapore, India and the UAE, combining energy availability, connectivity, policies and ecosystems to support next-generation AI workloads at scale.
Nvidia links giga-scale DCs: Nvidia has unveiled Spectrum-XGS Ethernet, technology designed to connect distributed data centers into “giga-scale AI super-factories” with near-doubled performance, with CoreWeave among the first to adopt the platform to unify hyperscale clusters across geographies.
Nvidia halts China H20: Nvidia has paused H20 chip production for China after Beijing flagged national security concerns and ordered state-owned firms to buy domestic chips, though CEO Jensen Huang said he is optimistic talks with regulators will resolve the dispute.
Liquid cooling breakthrough: TrendForce projects liquid cooling will jump from 14% to 33% penetration in AI data centers by 2025 as Nvidia’s GB200 servers drive adoption, with tech giants preparing liquid-ready facilities and suppliers racing to meet demand.
Norway’s green AI pilot: AI chip startup Neurophos and operator Terakraft are piloting ultra-efficient optical chips at a hydropower-driven Norwegian data center, claiming 100x GPU efficiency as they push for sustainable AI workloads in a 2027 early access program.