Data centers are increasingly moving off the traditional power grid, using on-site energy sources like fuel cells and solar panels. This trend, highlighted by Bloom Energy’s 2026 Power Report, could r...
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...
NVIDIA's NVFP4 low-precision format significantly enhances AI model training and inference by boosting throughput and energy efficiency without sacrificing accuracy. This analysis explores NVFP4's tec...
Babcock & Wilcox will lead the engineering and construction of a $2.4 billion power plant providing 1.2 GW of dedicated electricity to support large-scale AI data centers in the U.S. This project addr...
In 2026, AI infrastructure is reshaped by NVIDIA's NVFP4 low-precision format, the rise of edge and micro data centers, and enhanced security models for agentic AI. This analysis explores how these co...
Integrated security and connectivity features in AI chips are advancing rapidly, responding to complex workloads and edge deployment needs. These trends are converging to create more robust, flexible ...
In 2026, AI chip design is evolving through integrated innovations in on-chip security, low-precision training formats like NVIDIA's NVFP4, and dynamic runtime cost optimization via coding agents. The...
KAUST and Compumacy have introduced a co-optimization framework for in-memory AI accelerators that improves performance and energy efficiency across multiple neural network workloads. Validated throug...