Agentic AI architectures, characterized by autonomous multi-agent orchestration, are shifting AI hardware demand from GPU-centric models to integrated platforms that emphasize both CPU and accelerator...
Broadcom’s deployment of multi-gigawatt MTIA chips at Meta signals a strategic evolution in AI infrastructure, addressing critical power and data throughput challenges. This partnership highlights a s...
The NVIDIA–SambaNova–Intel partnership introduces a disaggregated AI inference architecture that combines reconfigurable data units, CPUs, and GPUs to improve efficiency, scalability, and flexibility....
The restructuring of the Microsoft-OpenAI partnership signals a major shift toward multi-cloud AI infrastructure, addressing the challenges of scale, resilience, and global reach. By expanding beyond ...
In 2026, multi-vendor collaborations among technology leaders like NVIDIA, Anthropic, Intel, and others are driving transformative advances in AI infrastructure. These partnerships enhance performance...
Agentic AI architecture, characterized by autonomous micro and macro agents, is transforming enterprise AI infrastructure by enabling modular, scalable, and secure workflows. This analysis explores ho...
Agentic AI platforms represent a significant evolution in artificial intelligence, shifting from reactive tools to autonomous, orchestrated systems. This analysis explores how this shift demands new i...
Advancements in precise GPU monitoring tools like Utilyze and the emergence of agentic AI benchmarks are driving a fundamental shift in AI infrastructure. This analysis explores how these developments...
The rapid growth of AI data centers is shifting hyperscale cloud investments toward power-rich regions like Texas and the US Midwest, driven by AI workloads' intense electricity demands. This trend is...
AI’s rapid compute expansion in 2026 demands vast, reliable energy supplies. Innovations in nuclear power—particularly small modular reactors and microreactors—combined with sustainable energy soverei...