Google’s agreement to power its new Minnesota data center primarily with wind energy and battery storage demonstrates that sustainable AI growth is achievable. The Mesh argues that this initiative set...
The rapid growth of AI data centers in the U.S. is placing unprecedented strain on the national power grid, threatening reliability and environmental goals. This editorial calls for urgent, coordinate...
Marvell Technology’s dedicated focus on AI interconnect silicon has driven its recent financial success amid hyperscalers’ massive investments in AI data centers. This analysis explains why Marvell’s ...
The expansion of AI workloads in US data centers is intensifying power grid strain while operators achieve higher GPU utilization efficiencies. This analysis explores how these intersecting trends cre...
In 2026, AI infrastructure is evolving through improved GPU utilization, strategic outsourcing by telecom operators, and advancements in 25G Ethernet networking. These trends collectively optimize res...
Luma’s introduction of Unified Intelligence models, integrating multiple AI modalities into cohesive creative agents, marks a pivotal shift demanding a fundamental overhaul of AI infrastructure. The M...
Marvell Technology’s first-quarter revenue beat highlights the surging demand for AI-focused data center chips in 2026. Beyond GPUs, Marvell’s strength in AI interconnects and networking ASICs positio...
Seven leading AI hyperscalers have committed to jointly funding power generation and grid upgrades to address the growing electricity demands of AI data centers. This analysis explores how this invest...
As AI workloads surge, providers face the challenge of maximizing GPU utilization while managing rising energy demands that strain data center power grids. Northern Data's 85% GPU allocation efficienc...
The rapid growth of AI data centers is stressing the U.S. electrical grid, risking service interruptions and environmental setbacks. Integrating advanced nuclear power is a strategic imperative to ens...