AI infrastructure today faces significant inefficiencies. Companies invest heavily in GPUs from a single vendor, yet these resources often remain underutilized due to inadequate software solutions. This does not have to be the case. The industry is actively working to improve utilization rates and diversify the range of accelerators in use.
In this video, we explore technical solutions for implementing serverless inferencing, covering key trade-offs from hardware choices to virtualization software and storage layers.