“AWS is growing at a pace we haven’t seen since 2022, re-accelerating to 20.2% YoY,” Andy Jassy, the president and CEO of Amazon, said in the company’s earnings announcement. “We continue to see strong demand in AI and core infrastructure, and we’ve been focused on accelerating capacity — adding more than 3.8 gigawatts in the past 12 months.”

The energy sector is using AI in smart grid management systems to balance energy loads, mitigating the stress from peak demands to reduce disruptions and overall emissions. In telecommunications, AI’s ability to predict demand lets networks optimize their infrastructure, ensuring they still work during peak use.

Cloud-computing firm Lambda has inked a multi-billion-dollar AI infrastructure deal with Microsoft, involving the deployment of tens of thousands of Nvidia GPUs.

Hybrid matches how AI actually runs. That's why it's become the baseline model for AI and the workloads around it.

Although complexity increases with diversity, the advantages of multicloud and hybrid cloud environments far outweigh the challenges.

Once focused on cryptocurrency mining, Iren has been deliberately reallocating capital and infrastructure toward AI compute and cloud services. This shift has redefined its growth trajectory, fueling a 31% stock gain in the past month, buoyed by deals with Nvidia and, more recently, Microsoft.

September saw SUSE update its Sylva-based SUSE Edge for Telco telecom cloud solution to offer an AI-native transformation suite under the new name of SUSE Telco Cloud. Red Hat then threw its hat in the ring by announcing compliance of its OpenShift cloud platform with Sylva’s telecom and edge-focused framework.