Marvell Technology forecasted strong fiscal 2028 revenue growth driven by demand for its AI-focused chips and interconnect technologies, following a first-quarter earnings beat. The company’s outlook ...
Telecom operators are increasingly outsourcing AI infrastructure to cloud providers to manage soaring costs and scalability challenges. This shift improves flexibility but raises questions about laten...
AI data centers in the US are rapidly increasing electricity demand, putting strain on the power grid comparable to large cities. While efficiency efforts help, the scale of AI workloads requires new ...
The Mesh argues that for edge AI hardware, energy efficiency has become more critical than minimizing chip size due to stringent power constraints in real-world devices. Prioritizing power consumption...
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...
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...