Currently, 48% of organizations use Kubernetes for AI/ML workloads, and the demand for such workloads also drives usage patterns on Kubernetes. Paperdata views the growth in the number of AI/ML workloads running on Kubernetes as a proof of Kubernetes’ maturity. Let’s look at the key technical reasons behind this trend, how AI/ML workloads benefit from running on GPU worker nodes in managed K8s clusters, and some considerations regarding GPU vendors and scheduling.
Why Kubernetes Is…
Read the full article here