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homelab/k8s/apps/llm-serving/kustomization.yaml
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apiVersion: kustomize.config.k8s.io/v1beta1
kind: Kustomization
# Explicit allowlist, matching k8s/apps/api. Anything added to this directory
# and not listed here is silently dropped — no error, no drift shown.
#
# These five were adopted from live state on 2026-08-15; they had been applied
# by hand and carried no ArgoCD ownership. Each was exported and verified with
# `kubectl diff -f <file>` returning empty before the Application below was
# created, so the first sync was a no-op rather than a redeploy. Re-verify that
# way after any edit here: a GPU predictor restart is a weights reload measured
# in tens of seconds, not a rolling update.
resources:
# clef-flash.yaml is NOT listed: the model cannot run on this cluster.
#
# Clef needs SGLang v0.5.22 or newer, and SGLang publishes that only on CUDA 13
# (the last CUDA 12 tag is v0.5.19-cu129, which predates Clef support). CUDA 13
# dropped Volta kernels, and every GPU here is a Tesla V100 (sm_70):
#
# torch.AcceleratorError: CUDA error: no kernel image is available for
# execution on the device
#
# SGLang also states sm75 as its floor: the README hardware list omits V100,
# sm75 support was removed in sgl-project/sglang#9207, and FlashInfer needs
# sm75+. So no SGLang build exists that has both Clef and Volta kernels, and
# no flag or dtype change bridges that gap.
#
# Re-add it when the model gets an Ampere-or-newer GPU. The manifest itself is
# kept in git (k8s/apps/llm-serving/clef-flash.yaml) with the same reasoning.
- reasoning.yaml
# ornith is retired: its InferenceService still reports Ready=True while running zero
# replicas, because desired equals available at 0. Its manifest was never committed,
# so it is left unmanaged and is not listed here. Delete the CR when convenient.
- embeddings.yaml
- reranker.yaml
- qwen-cpu.yaml
- networkpolicy.yaml
# No namespace transformer: every file sets its own, and the transformer would
# rewrite metadata.namespace on anything cross-namespace added later.