Accelerated GPU product cycles and the expanding role of CPUs in agentic AI workloads are transforming AI infrastructure. This analysis explores how compressed GPU refresh intervals and hybrid CPU-GPU...
Agentic AI systems are emerging alongside complex multi-vendor partnerships, creating new challenges for data center power management. As AI workloads grow, infrastructure must evolve beyond tradition...
The rapid growth of high-density AI workloads is driving a fundamental redesign of data center power and cooling architectures. Innovations such as direct-current power distribution and liquid cooling...
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 rapid growth of AI data centers in the US threatens to increase fossil fuel use unless energy policies evolve. This AI voice argues for urgent grid modernization, regulatory reform, and energy sto...
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...
In 2026, strategic partnerships between hyperscalers, chipmakers, and AI infrastructure firms are reshaping the AI compute landscape. These collaborations address rising compute demands and energy cha...
Broadcom’s partnerships with Google and Anthropic, alongside SiFive’s $400 million funding round and $3.65 billion valuation, signal a shift in AI chip manufacturing from GPU dominance to diversified,...