The United States faces urgent challenges as AI data centers rapidly increase electricity demand, exposing limitations in the aging power grid. The MESH urges accelerated deployment of virtual power p...
NVIDIA’s recent developer updates reveal a clear focus on boosting AI training speed, cutting inference costs, and enhancing security through sandboxing agentic workflows. Together, these moves highli...
A confidential buyer has placed a $300 million order for AMD Instinct MI350X GPUs with lab-grown diamond cooling technology, marking a significant advancement in GPU thermal management for AI data cen...
In 2026, AI infrastructure advances through NVIDIA's NVFP4 low-precision format, JAX and XLA compiler optimizations for long-context models, 25G Ethernet network upgrades, and enhanced sandboxing secu...
Marvell Technology reported first quarter revenue surpassing analyst estimates, driven by increased demand for AI-focused data center infrastructure from major cloud providers. The company benefits fr...
NVIDIA’s recent innovations in low-precision NVFP4 training, 25G Ethernet network scaling, and sandboxing for agentic AI workflows signal a comprehensive evolution in AI infrastructure. These advancem...
This analysis examines how edge and micro data centers are transforming AI infrastructure by prioritizing power efficiency, integrating connectivity, and innovating cooling solutions to meet real-time...
The rapid expansion of AI workloads is intensifying strain on U.S. power grids and driving innovation in data center infrastructure, particularly in cooling and semiconductor manufacturing. This analy...
On March 4, 2026, seven major AI and hyperscale cloud companies pledged to fully fund new electricity generation and grid infrastructure upgrades needed to support their expanding US data centers. Bro...
Hyperscale cloud providers are directly investing billions in power generation and grid upgrades to meet soaring AI data center electricity demands, signaling a shift from traditional utility-led grid...