ai data centers

Lancium, Nvidia Partner on Gigawatt-Scale AI Data Centers
Lancium has partnered with Nvidia to deploy AI factory technology across its portfolio, which includes 4 GW of leased capacity and over 15 GW of powered land. This collaboration aims to advance grid-responsive AI data centers at gigawatt scale, integrating Nvidia's full-stack AI platform and power-management solutions.

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Energy Solutions Critical for AI Data Centres: GE Vernova CTO
Krishna Jonnalagadda, Chief Technology Officer (CTO) at GE Vernova, highlighted that power availability is the primary constraint in building artificial intelligence (AI) data centres. He emphasised the need for advanced energy solutions, including solid-state transformers, to support the exponential growth of AI infrastructure.
Power GaN Shifts to AI Data Centers, EVs Beyond Chargers
The power gallium nitride (GaN) semiconductor market is moving beyond consumer fast chargers, with AI data centers and electric vehicles (EVs) emerging as key demand drivers. This shift necessitates strategic planning for chipmakers, foundries, and investors over the next five years, especially for high-density compute infrastructure.
Nuclear Power for AI Data Centres Faces Financing, Insurance Hurdles
Despite major hyperscalers signing agreements for nuclear power to support AI data centres, significant financing and insurance bottlenecks are hindering project delivery. Capital-intensive builds and a shortage of builders' risk cover are key challenges for new nuclear capacity.
Edge AI to Boost Data Center Hybrid Architectures
Edge artificial intelligence (AI) workloads, run at or near data generation points, are expected to complement rather than replace centralized AI data centers. Businesses are likely to adopt hybrid architectures to balance latency, data control, and large-scale infrastructure efficiencies. This strategic shift has implications for data center operators and investors.
Amazon building large gas plant for AI data center
Amazon is developing a significant natural-gas power plant, GW Ranch, in West Texas to supply its AI data center operations. The project raises concerns due to its potential to emit up to 33 million tons of CO2, a figure exceeding the emissions limit for the largest US coal-fired plant. This highlights the substantial energy and environmental challenges associated with powering large-scale AI infrastructure.
Zhongji InnoLight Seeks $7 Billion Hong Kong Listing for AI Data Centre Focus
Zhongji InnoLight, a Chinese optical component manufacturer for AI data centres, is targeting a US$7 billion Hong Kong listing by July 30. This significant capital raise reflects growing investor optimism for China's AI sector ambitions and the expanding global digital infrastructure market.
AI Data Centres Face Power Volatility Crisis, Equipment Failure Risk
Rapidly fluctuating power demands from artificial intelligence (AI) data centres are causing critical equipment such as batteries, generators, and cooling systems to fail prematurely. This issue drives up operational costs, creates unforeseen reliability problems, and poses a threat to wider power grid stability. Data centre operators and energy suppliers must urgently address these challenges as the AI boom accelerates.
Indosat seeks US$2 Billion Loan for AI Data Center Chips
Indonesian telco Indosat Tbk is reportedly seeking a US$2 billion loan to procure advanced chips for its artificial intelligence (AI) data centers. This move highlights the significant capital requirements for developing AI-ready infrastructure and the diversification of telcos into new revenue streams beyond traditional mobile connectivity.
AI Data Centres: No Standalone Environmental Clearance in India
The Union government has clarified that artificial intelligence (AI) data centres do not require a standalone environmental clearance under the Environmental Impact Assessment (EIA) Notification, 2006. This policy stance provides clarity for data centre operators and investors, linking environmental oversight to existing building and township project thresholds rather than an AI-specific framework.
Rehlko Warns AI Data Centres Need Dynamic Power Checks
Rehlko has published an eBook highlighting that AI-driven data centres require dynamic power checks, moving beyond static installed capacity assessments. The firm argues that changing AI workloads fundamentally reshape critical power requirements, especially for GPU-based environments. This necessitates evaluating power system performance under variable real-world loads to ensure AI readiness.
AI Data Centre Boom Strains Global Construction Workforce
The rapid growth of artificial intelligence (AI) infrastructure is intensifying the global shortage of skilled electrical and mechanical workers, straining contractor capacity worldwide. This trend raises concerns that skills deficits could impede the expansion of critical digital infrastructure, including data centres.

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