Making Shared GPUs Even Safer with Kubex and HAMi-core
KAI provides the scheduling foundation letting multiple workloads share a GPU while accounting for the amount requested. Kubex then closes the loop.
Don’t Trust the Diff: Making AI-Generated Code Reviewable And Maintainable
With Kubex support for the KAI Scheduler, shared GPU inference becomes easier to operate at scale: KAI provides the scheduling foundation, while Kubex continuously observes, rightsizes, and rebalances workloads to improve GPU utilization over time.
New in Kubex: KAI Scheduler Integration for Shared GPU Inference
With Kubex support for the KAI Scheduler, shared GPU inference becomes easier to operate at scale: KAI provides the scheduling foundation, while Kubex continuously observes, rightsizes, and rebalances workloads to improve GPU utilization over time.
When ConfigMaps Hit Limits: Migrating to CRDs
Designing Great Kubernetes APIs: 5 Lessons We Learned Migrating From ConfigMaps to CRDs
