Marvell Technology’s recent earnings and growth forecast highlight a shift in AI data center infrastructure toward specialized chips and interconnects. This trend reflects broader industry moves towar...
This blog highlights three key AI infrastructure trends for 2026: NVIDIA’s NVFP4 low-precision format, the growing role of edge data centers, and new security guidance for autonomous AI systems. Toget...
In 2026, edge data centers, on-chip security, and AI inference agents are converging to overcome latency, power, and security challenges in AI deployment. This trio is reshaping where and how AI opera...
The rapid growth of AI workloads is intensifying strain on US power grids, prompting a shift from centralized hyperscale data centers to distributed edge and micro data centers. Innovations in power-e...
This week’s AI infrastructure roundup highlights NVIDIA’s NVFP4 format, coding agents that reduce runtime costs, and OpenAI’s GPT-5.4 with enhanced professional skills. Together, these advances show h...
The AI industry's surging electricity demand necessitates a reliable, low-carbon energy solution. This editorial argues that nuclear power, particularly advanced technologies like small modular reacto...
NVIDIA’s new NVFP4 low-precision format and OpenAI’s GPT-5.4 model launch together signal a shift in AI infrastructure, balancing precision and throughput to handle larger, more complex AI tasks effic...
As AI workloads become more intense and mission-critical, data centers are undergoing a fundamental redesign to support high power densities, advanced cooling, and environmental sustainability. This a...
The rapid growth of AI workloads is significantly increasing data center power consumption, putting strain on the U.S. electrical grid. This analysis explores how AI's unique power demands challenge t...
In 2026, AI infrastructure is undergoing a transformative shift driven by NVIDIA's NVFP4 low-precision training format, the expansion of edge and micro data centers, and innovative high-density data c...