The Mesh argues that the AI industry's heavy reliance on natural gas to power data centers is a short-sighted strategy that undermines climate goals and energy security. The article calls for a decisi...
Babcock & Wilcox has been awarded a $2.4 billion contract to build a 1.2 GW gas-fired power plant for Applied Digital’s AI data center campuses in Texas, addressing the substantial energy demands of l...
Recent research from KAUST and Compumacy demonstrates that multi-workload co-optimization significantly enhances the energy efficiency and versatility of in-memory computing (IMC) AI accelerators. By ...
In early 2026, the AI accelerator industry is shifting toward heterogeneous silicon platforms, in-memory computing, and enhanced data movement via 25G Ethernet. Broadcom’s $100 billion investment in s...
US data centers' electricity demand, driven by rapid AI infrastructure growth, is nearing levels comparable to several major cities combined, posing significant challenges for grid stability. This ana...
GE Vernova announced a contract to upgrade 1.1 GW of onshore wind turbines across the U.S., enhancing renewable capacity to meet rising electricity demands from AI and technology sectors. The upgrades...
As agentic AI systems gain greater autonomy, their execution environments face heightened security risks that traditional methods cannot fully address. This analysis examines how integrating practical...
NVIDIA’s recent AI advancements focus on smarter precision with NVFP4, improved long-context training through JAX and XLA, and reducing inference costs for real-time game agents. These developments si...
AI infrastructure is undergoing a transformation driven by the integration of processing units with connectivity components and the expansion of edge and micro data centers. This shift addresses laten...
NVIDIA is shifting its AI infrastructure strategy from raw power to smarter, more efficient designs. Their innovations in low-precision formats, software optimizations, and sovereign AI hardware point...