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...
Marvell’s surge in AI interconnect chip demand and NVIDIA’s NVFP4 low-precision format breakthrough highlight a growing synergy in AI infrastructure. Together, these advances show how hardware and mod...
The Mesh argues that as AI data centers rapidly expand, merely paying for electricity is insufficient to address the resulting grid strain and environmental impact. The opinion piece calls for integra...
The Mesh argues telecom operators must adopt a balanced AI infrastructure strategy that combines cloud outsourcing with selective in-house control. This hybrid approach addresses critical concerns aro...
25G Ethernet is rapidly becoming the preferred standard for real-time AI data movement at the edge, balancing bandwidth, latency, cost, and power efficiency. Its adoption across automotive, industrial...
Recent research from KAUST and Compumacy introduces a co-optimization framework that enhances in-memory AI accelerators' versatility by jointly optimizing hardware design, workload characteristics, an...
Marvell Technology’s recent earnings beat and optimistic fiscal 2028 revenue forecast highlight a transformative shift in AI infrastructure toward diversified, custom silicon and integrated connectivi...
KAUST and Compumacy have introduced a novel optimization framework for in-memory AI accelerators that simultaneously targets multiple AI workloads. This approach aims to improve efficiency and adaptab...