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...
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...
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...
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...
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...
NVIDIA’s recent hardware-software innovations in 2026 are reshaping AI infrastructure by improving efficiency in training and inference. Their new low-precision format NVFP4 and optimized compiler int...
NVIDIA’s integrated approach to AI infrastructure—combining precision format innovations like NVFP4, extreme hardware-software co-design, and enhanced programming frameworks—delivers substantial gains...
In March 2026, AI infrastructure is evolving through NVIDIA’s hardware-software co-design, the rise of unified intelligence models, and a transforming semiconductor industry. These trends point toward...