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3
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db97159905 | ||
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67760720fc | ||
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c5099e3a8f |
@@ -33,19 +33,17 @@ metadata:
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app: clef-serve
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app: clef-serve
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app.kubernetes.io/part-of: llm-serving
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app.kubernetes.io/part-of: llm-serving
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spec:
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spec:
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# Parked at 0 to free the only V100 that was not serving anything, so candle-vllm can
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# One card. worker-1 holds four V100s: candle-vllm takes one for the coder, and
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# run its Phase 0 on one card. All four cards were allocated (coder 2, reasoning 1,
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# this pod takes one, so two stay free for a TP=2 candle run.
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# this 1) and a new GPU workload had nowhere to land.
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#
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#
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# This is the only GPU consumer in the namespace that is not vLLM, which is why it is
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# Enabled 2026-11-04 to serve /v1/systemone, which the gateway already routes to
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# the first card released: the standing instruction is to keep the vLLM pods healthy
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# this Service. It was parked at 0 while candle-vllm was brought up on the same
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# until candle-vllm answers, and this pod is not one of them.
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# cards, and it served no inference request between 2026-10-30T06:23:40Z and then.
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#
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#
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# It was serving nothing. The last 30 log lines at park time were 30/30 kubelet
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# Cold start is about four minutes: the pod pip-installs on every boot because the
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# /health probes and no inference request since start (2026-10-30T06:23:40Z). Nothing
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# torch base image cannot be pushed to the registry (Cloudflare answers 413 above
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# in git selects this service. Restore it once the rollout leaves a card free:
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# 100 MB per layer). startupProbe allows for that.
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# 30B-A3B takes 1, Coder-Next TP=2 takes 2, so card 4 is this one.
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replicas: 1
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replicas: 0
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# Recreate, not RollingUpdate. Every GPU card is allocated, so a rolling update leaves
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# Recreate, not RollingUpdate. Every GPU card is allocated, so a rolling update leaves
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# the new pod Pending forever waiting for a card the old pod still holds.
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# the new pod Pending forever waiting for a card the old pod still holds.
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strategy:
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strategy:
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@@ -0,0 +1,40 @@
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# Stable client-facing name for the coder chat model, deliberately decoupled
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# from the process that serves it.
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#
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# poimen-memory addresses a Service, not a pod and not an InferenceService. The
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# vLLM -> candle-vllm handoff therefore changes this file's selector and nothing
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# else, so the client config never changes again and there is no window in which
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# the host name is wrong.
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#
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# The previous KTML predictor requested two V100s and never reached Ready, so it
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# held half the GPU pool while serving nothing. candle-vllm replaces it.
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#
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# Two ports on purpose:
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# - 80 matches every other predictor Service in this namespace, and matches
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# a client base URL that carries no port number.
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# - 8080 is the container port. Publishing it directly avoids a port
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# translation that is easy to get wrong in a curl.
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#
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# Do not delete and recreate this Service: a delete drops the ClusterIP, and a
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# client that cached the name during the gap fails until it re-resolves.
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apiVersion: v1
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kind: Service
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metadata:
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name: coder-predictor
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namespace: llm-serving
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labels:
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app.kubernetes.io/part-of: llm-serving
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app: coder-predictor
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spec:
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type: ClusterIP
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selector:
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app: candle-vllm
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ports:
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- name: http
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protocol: TCP
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port: 80
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targetPort: 8080
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- name: http-8080
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protocol: TCP
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port: 8080
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targetPort: 8080
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@@ -16,6 +16,7 @@ resources:
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- clef-serve.yaml
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- clef-serve.yaml
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# Stable client-facing name for the chat model. poimen-memory points at this Service,
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# Stable client-facing name for the chat model. poimen-memory points at this Service,
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# so the vLLM -> candle-vllm handoff is a selector edit here and no client change.
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# so the vLLM -> candle-vllm handoff is a selector edit here and no client change.
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- coder-service.yaml
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- reasoning-long-service.yaml
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- reasoning-long-service.yaml
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# ornith is retired: its InferenceService still reports Ready=True while running zero
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# ornith is retired: its InferenceService still reports Ready=True while running zero
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# replicas, because desired equals available at 0. Its manifest was never committed,
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# replicas, because desired equals available at 0. Its manifest was never committed,
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