Held on June 18-19, 2026, in Mumbai, India, KubeCon + CloudNativeCon India 2026 brought together cloud native practitioners, platform engineers, AI infrastructure teams, and open source contributors from across the ecosystem. As AI emerged as one of the conference's defining themes, HAMi showcased how Kubernetes-native GPU sharing helps organizations maximize accelerator utilization while maintaining workload isolation and operational flexibility.
From the opening keynote to live booth demonstrations and technical discussions with engineering teams, the event highlighted a growing industry focus: making expensive GPU infrastructure practical for multi-tenant AI workloads.
The recently concluded KubeCon + CloudNativeCon Europe 2026 sent an increasingly clear signal to the industry:
Cloud native is rapidly evolving from an "application runtime platform" into the operational foundation for AI infrastructure.
KCD Beijing 2026 was one of the largest Kubernetes community events in recent years.
Over 1,000 people registered, setting a new record for KCD Beijing.
The HAMi community not only gave a technical talk but also set up a booth, engaging deeply with developers and enterprise users from the cloud-native and AI infrastructure fields.
The topic of this talk was:
From Device Plugin to DRA: GPU Scheduling Paradigm Upgrade and HAMi-DRA Practice
This article combines the on-site presentation and slides for a more complete technical review. Slides download: GitHub - HAMi-DRA KCD Beijing 2026.
Next week, HAMi will be featured in multiple activities at KubeCon + CloudNativeCon Europe 2026, including Project Pavilion booth, technical sessions, main stage demo, and post-conference AI-related events.
As a CNCF Sandbox project, HAMi focuses on GPU virtualization, sharing, and scheduling, which is increasingly intersecting with AI infrastructure topics in the Kubernetes ecosystem. KubeCon + CloudNativeCon Europe 2026 will be held in Amsterdam from March 23-26, with March 23 as pre-event programming and March 24-26 as the main conference.
During the use of HAMi, it is common for Pods to be created and remain in a Pending state, particularly due to the following two issues:
- Pod UnexpectedAdmissionError
- Pod Pending
This section provides a rough walkthrough of the related code to explain the interactions between components during scheduling and how resources are calculated. Other details may be omitted.
