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## What this PR does Documentation: https://github.com/cozystack/website/pull/517 Integrates [HAMi](https://github.com/Project-HAMi/HAMi) v2.8.1 (CNCF Sandbox) into Cozystack as a system-level package for fractional GPU sharing in tenant Kubernetes clusters. The integration covers three layers: - **System chart** (`packages/system/hami/`): Vendors upstream HAMi Helm chart with device plugin, scheduler extender, mutating webhook, and RuntimeClass configuration. The broken DRA subchart was removed — it renders resources even when disabled and references unpublished images. - **Kubernetes app addon** (`packages/apps/kubernetes/`): HAMi exposed as an optional toggle (`hami.enabled`). Automatically disables GPU Operator's native device plugin when active to avoid conflicts. Enforces hard dependency on GPU Operator. - **Platform registration** (`packages/core/platform/`): HAMi declared as PackageSource with gpu-operator dependency, included in the iaas bundle. **Known limitation**: HAMi-core relies on a private glibc symbol (`_dl_sym`) removed in glibc 2.34, which breaks compute isolation on modern container images (Ubuntu 22.04+, PyTorch/TensorFlow official images). Alpine/musl is entirely incompatible. See the package README for details and upstream issue references. ### Screenshots N/A — no UI changes. ### Release note ```release-note feat(hami): add HAMi GPU virtualization as an optional system package for fractional GPU sharing. Enables memory and compute isolation for NVIDIA GPUs across tenant workloads. Integrates with GPU Operator and can be enabled per-cluster via the hami.enabled toggle. Note: compute isolation requires glibc < 2.34 in workload containers. ``` <!-- This is an auto-generated comment: release notes by coderabbit.ai --> ## Summary by CodeRabbit * **New Features** * Added HAMi GPU virtualization middleware as an optional cluster addon to enable fractional GPU sharing. * HAMi addon includes an enable toggle (default: disabled) and a customizable Helm values override; when enabled it enforces GPU Operator presence and adjusts GPU Operator values accordingly. * New HelmRelease integration for deploying HAMi with dependency ordering and conditional rendering. * **Documentation** * Added HAMi setup guide, compatibility notes, and updated cluster addon configuration reference. <!-- end of auto-generated comment: release notes by coderabbit.ai --> |
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| values.yaml | ||