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/Dockerfile.ray-worker-intel

@@ -0,0 +1,77 @@
+# Intel GPU Ray Worker for danilo (Intel i915 iGPU)
+# Used for: Reranker
+#
+# Build from llm-workflows root:
+#   docker build -t git.daviestechlabs.io/daviestechlabs/ray-worker-intel:latest -f dockerfiles/Dockerfile.ray-worker-intel .
+#
+# Multi-stage build to ensure Python 3.11.11 matches Ray head node
+FROM rayproject/ray:2.53.0-py311 AS base
+
+LABEL maintainer="billy-davies-2"
+LABEL description="Ray worker for Intel GPUs (Reranker)"
+LABEL gpu.target="intel-xpu"
+
+WORKDIR /app
+
+# Install system dependencies for Intel GPU support
+USER root
+RUN apt-get update && apt-get install -y --no-install-recommends \
+    git \
+    curl \
+    wget \
+    gnupg2 \
+    && rm -rf /var/lib/apt/lists/*
+
+# Add Intel oneAPI repository for runtime libraries
+RUN wget -qO - https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | gpg --dearmor -o /usr/share/keyrings/intel-oneapi-archive-keyring.gpg && \
+    echo "deb [signed-by=/usr/share/keyrings/intel-oneapi-archive-keyring.gpg] https://apt.repos.intel.com/oneapi all main" > /etc/apt/sources.list.d/intel-oneapi.list
+
+# Add Intel compute-runtime repository for Level Zero
+RUN wget -qO - https://repositories.intel.com/gpu/intel-graphics.key | gpg --dearmor -o /usr/share/keyrings/intel-graphics-archive-keyring.gpg && \
+    echo "deb [signed-by=/usr/share/keyrings/intel-graphics-archive-keyring.gpg arch=amd64] https://repositories.intel.com/gpu/ubuntu jammy client" > /etc/apt/sources.list.d/intel-gpu.list && \
+    apt-get update && apt-get install -y --no-install-recommends \
+    intel-oneapi-runtime-opencl \
+    intel-oneapi-runtime-compilers \
+    intel-level-zero-gpu \
+    level-zero \
+    && rm -rf /var/lib/apt/lists/*
+
+USER ray
+
+# Ensure Ray CLI is in PATH
+ENV PATH="/home/ray/.local/bin:${PATH}"
+
+# Install Intel Extension for PyTorch (IPEX) for Python 3.11
+# This provides XPU support for Intel GPUs
+RUN pip install --no-cache-dir \
+    torch==2.5.1 \
+    intel-extension-for-pytorch==2.5.10+xpu \
+    --extra-index-url https://pytorch-extension.intel.com/release-whl/stable/xpu/us/
+
+# Install Ray Serve and AI inference dependencies
+RUN pip install --no-cache-dir \
+    sentence-transformers \
+    FlagEmbedding \
+    fastapi \
+    uvicorn \
+    httpx \
+    pydantic \
+    transformers \
+    huggingface_hub
+
+# Copy Ray Serve Python code
+COPY ray-serve/ /app/ray_serve/
+ENV PYTHONPATH=/app
+
+# Copy Ray Serve entrypoint
+COPY --chmod=755 dockerfiles/ray-entrypoint.sh /app/ray-entrypoint.sh
+
+# Default environment variables
+ENV RAY_HEAD_SVC="ai-inference-raycluster-head-svc"
+ENV GPU_RESOURCE="gpu_intel"
+ENV NUM_GPUS="1"
+# Intel XPU settings
+ENV ZE_AFFINITY_MASK=0
+ENV SYCL_DEVICE_FILTER=level_zero:gpu
+
+ENTRYPOINT ["/app/ray-entrypoint.sh"]