Sponsored Keynote: AI-Ready Platforms: Scaling Teams Without Scaling Costs
Talkat Platform Engineering Day North America 2025 · on Monday, 2025-11-10· at 09:40· Building B | Level 5 | Thomas Murphy Ballroom 2-3·
summary
Platform engineers face GPU scarcity, noisy-neighbor etcd limits (example: a team creating 3,000 secrets starving others), and costly per-team clusters. The proposal uses vCluster v0.28 auto-nodes to give each team a virtual control plane on a single Kubernetes host with CPU and GPU node pools, adds Karpenter baked in autoscaling and a private node tenancy mode, and ties node lifecycle to Terraform providers so GPUs auto-attach and detach to maximize utilization and cut costs.
AI-written summary · about
related talks
15mKeynote: From Platforms to AI Factories. Has Kubernetes Solved It?
24mPanel Discussion
25mHow We Power the Largest AI Deployments on the Planet: Running Vir...
40mHow an AI driven approach reduces cloud cost and makes your Kubernetes infrastructure autonomous
40mOpening Keynote: AI & Platform Teams
32mSmart GPU Management: Dynamic Pooling, Sharing, and Scheduling for AI Workloads in Kubernetes
17mKeynote
17mSponsored keynote: Can AI handle the complexity of Kubernetes and cloud-native environments?