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...
Marvell Technology’s Q1 earnings reveal growing demand for AI-specific chips, signaling a shift from GPU dominance to a more diverse AI hardware ecosystem. This trend highlights the increasing role of...
NVIDIA’s decision to shift H200 GPU manufacturing out of China toward Vera Rubin chip production marks a strategic realignment driven by geopolitical pressures and regulatory complexities. This move h...
The rapid growth of AI data centers is placing unprecedented strain on the U.S. power grid, demanding urgent action to integrate advanced nuclear power and innovative energy solutions. This editorial ...
Marvell Technology’s recent strong Q1 results highlight a growing trend in AI chip design: hardware specialization. Unlike competitors who lean on software optimization, Marvell focuses on custom sili...