Marvell Technology’s $5.5 billion investment in networking and security silicon marks a strategic shift in AI infrastructure, emphasizing connectivity and chip-level security alongside compute. This m...
NVIDIA’s latest AI infrastructure updates highlight a coordinated push in hardware, software, and security. From the NVFP4 low-precision format to accelerated long-context training support and sandbox...
Recent advances in AI chip security, optical interconnects, and ultra-high bandwidth memory are driving a fundamental shift in semiconductor design. These innovations address emerging AI integrity thr...
Unified AI infrastructure at the edge integrates compute, connectivity, and power management within micro data centers, enabling real-time AI workloads with ultra-low latency and improved power effici...
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...
Seven leading AI companies and hyperscale cloud providers have committed to fully fund power generation and grid upgrades needed for their data centers, under an agreement brokered by the White House....
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...
Marvell Technology’s recent earnings beat, driven by demand for AI-focused interconnect chips, signals a growing market recognition of the critical role that network infrastructure plays alongside GPU...