The HAMi community is proud to announce the official release of HAMi v2.9.0. This represents a milestone version in terms of heterogeneous device virtualization depth, scheduler ecosystem expansion, and Kubernetes native standards alignment.
v2.9.0 introduces the Ascend 910C HAMi-core mode, HAMi-DRA general availability, and Volcano vGPU upgrade to v0.19, along with systematic enhancements in observability, security, and stability. This release also welcomes 19 new contributors for the first time.
This article provides a detailed overview of the major updates in v2.9.0.
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.
The HAMi community is proud to announce the official release of HAMi v2.8.0. This represents a milestone version in terms of architectural completeness, scheduling reliability, and ecosystem alignment.
v2.8.0 not only introduces multiple key feature updates but also delivers systematic enhancements in Kubernetes native standard alignment, heterogeneous device support, production readiness, and observability, making HAMi more suitable for AI production clusters that require long-term operation with high stability and clear evolution paths.
This article provides a detailed overview of the major updates in v2.8.0.
