AI News caught up with Victor Jakubiuk, Head of AI at Ampere Computing, a semiconductor company offering Cloud Native Processors. We discussed how they are driving high-performance, scalable and energy-efficient solutions built for the sustainable cloud.

In today’s business landscape, artificial intelligence (AI) has been an undeniable game-changer, driving innovation and competitiveness across all industries. Yet, a critical hurdle has recently emerged as companies rapidly shift to cloud-native processes: a severe shortage of servers and rising operational costs.  

With soaring demand for computational power risking the seamless integration of AI-driven initiatives, businesses now face the urgent task of finding innovative, affordable and far more sustainable solutions to tackle this shortage – a shortage only set to continue.

The impact on the environment is also a concern. A new study reveals that by 2027, the AI industry could consume as much energy as a country like Argentina, Netherlands, or Sweden. With energy-intensive graphics processing units (GPUs) a popular choice for AI workloads, this computing power has seen energy consumption and carbon footprints hit un