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...
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...
AI data centers are rapidly expanding, putting new pressures on regional power grids. Innovations like Alfa Laval’s FreeWaterLoop cooling and smarter grid management could help balance growth with sus...
The Mesh argues that telecom companies must confidently embrace outsourcing of AI infrastructure as a strategic imperative to manage rising costs and accelerate innovation. While acknowledging valid c...
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 surge in AI-driven data center expansion is placing unprecedented demand on the US power grid, with electricity consumption projected to rival that of multiple major cities by 2030. This analysis ...
AI data centers are driving unprecedented energy demand that’s straining the U.S. power grid. While grid modernization lags, innovations like liquid cooling, edge GPUs, and virtual power plants offer ...
Seven major AI hyperscalers have pledged—facilitated by the White House—to fully fund new power generation and grid upgrades to meet AI’s growing energy demands. This move signals a shift toward corpo...