feat: Add GPU-specific Ray worker images with CI/CD

- Add Dockerfiles for nvidia, rdna2, strixhalo, and intel GPU targets
- Add ray-serve modules (embeddings, whisper, tts, llm, reranker)
- Add Gitea Actions workflow for automated builds
- Add Makefile for local development
- Update README with comprehensive documentation

dockerfiles/ray-entrypoint.sh

@@ -0,0 +1,27 @@
+#!/bin/bash
+# Ray Worker Entrypoint
+# Connects to Ray head node and registers custom resources
+
+set -e
+
+# Ensure Ray is in PATH (works across all base images)
+export PATH="/home/ray/.local/bin:/home/ray/anaconda3/bin:${PATH}"
+
+# Get Ray head address from environment or default
+RAY_HEAD_ADDRESS="${RAY_HEAD_SVC:-ray-head-svc}:6379"
+
+# Get custom resources from environment
+GPU_RESOURCE="${GPU_RESOURCE:-gpu_amd}"
+NUM_GPUS="${NUM_GPUS:-1}"
+
+echo "Starting Ray worker..."
+echo "  Head address: $RAY_HEAD_ADDRESS"
+echo "  GPU resource: $GPU_RESOURCE"
+echo "  Num GPUs: $NUM_GPUS"
+
+# Start Ray worker with custom resources
+exec ray start \
+    --address="$RAY_HEAD_ADDRESS" \
+    --num-gpus="$NUM_GPUS" \
+    --resources="{\"$GPU_RESOURCE\": 1}" \
+    --block