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fixed filepath that points to gpu based model server deployment in few places #451

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Mar 5, 2025
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Merged

fixed filepath that points to gpu based model server deployment in few places #451

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4 changes: 2 additions & 2 deletions hack/release-quickstart.sh
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Expand Up @@ -51,9 +51,9 @@ sed -i.bak '/us-central1-docker.pkg.dev\/k8s-staging-images\/gateway-api-inferen
sed -i.bak -E "s|us-central1-docker\.pkg\.dev/k8s-staging-images|registry.k8s.io|g" "$EXT_PROC"

# -----------------------------------------------------------------------------
# Update config/manifests/vllm/deployment.yaml
# Update config/manifests/vllm/gpu-deployment.yaml
# -----------------------------------------------------------------------------
VLLM_DEPLOY="config/manifests/vllm/deployment.yaml"
VLLM_DEPLOY="config/manifests/vllm/gpu-deployment.yaml"
echo "Updating ${VLLM_DEPLOY} ..."

# Update the vLLM image version
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2 changes: 1 addition & 1 deletion site-src/guides/index.md
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Expand Up @@ -24,7 +24,7 @@ This quickstart guide is intended for engineers familiar with k8s and model serv

#### GPU-Based Model Server

For this setup, you will need 3 GPUs to run the sample model server. Adjust the number of replicas in `./config/manifests/vllm/deployment.yaml` as needed.
For this setup, you will need 3 GPUs to run the sample model server. Adjust the number of replicas in `./config/manifests/vllm/gpu-deployment.yaml` as needed.
Create a Hugging Face secret to download the model [meta-llama/Llama-2-7b-hf](https://huggingface.co/meta-llama/Llama-2-7b-hf). Ensure that the token grants access to this model.
Deploy a sample vLLM deployment with the proper protocol to work with the LLM Instance Gateway.
```bash
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2 changes: 1 addition & 1 deletion test/e2e/e2e_suite_test.go
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Expand Up @@ -69,7 +69,7 @@ const (
// clientManifest is the manifest for the client test resources.
clientManifest = "../testdata/client.yaml"
// modelServerManifest is the manifest for the model server test resources.
modelServerManifest = "../../config/manifests/vllm/deployment.yaml"
modelServerManifest = "../../config/manifests/vllm/gpu-deployment.yaml"
// modelServerSecretManifest is the manifest for the model server secret resource.
modelServerSecretManifest = "../testdata/model-secret.yaml"
// inferPoolManifest is the manifest for the inference pool CRD.
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