Google Kubernetes Engine vs IBM Cloud Kubernetes Service

Google Kubernetes Engine is a managed environment for running containerized applications. It manages the Kubernetes control-plane life cycle for each cluster, from creation to deletion. Teams using Autopilot can hand node provisioning, scaling, scheduling and infrastructure management to Google, while users who prefer can manage nodes themselves. Autopilot also includes automatic capacity right-sizing and per-pod pricing. GKE supports GPU and TPU workloads and connects with AI Hypercomputer for machine-learning and high-performance computing. The product page states that clusters can reach 65,000 nodes. Security features include visibility into configuration issues and risks, agentless scanning for critical vulnerabilities, workload isolation through GKE Sandbox and hardware-based encryption for data in use with Confidential GKE Nodes. Fleets and Teams help organize clusters and workloads across teams. It also supports conformant attached Kubernetes clusters and says applications can run unmodified on on-premises hardware or in public cloud. Windows Server node images and containers are unavailable in Autopilot. A free tier and trial are listed, with a $9/mo starting price.

IBM Cloud Kubernetes Service has no write-up on Specifiction yet; its figures are above.