# ============================================================================= # ADUC-SDR Video Suite — High-Perf Diffusers for 8× L40S (SM 8.9) # CUDA 12.8 | PyTorch 2.8.0+cu128 | Ubuntu 22.04 # ============================================================================= FROM nvidia/cuda:12.8.0-devel-ubuntu22.04 LABEL maintainer="Carlos Rodrigues dos Santos & Development Partner" LABEL description="High-performance Diffusers stack with FA2/SDPA, 8×L40S" LABEL version="4.4.0" LABEL cuda_version="12.8.0" LABEL python_version="3.10" LABEL pytorch_version="2.8.0+cu128" LABEL gpu_optimized_for="8x_NVIDIA_L40S" # ---------------- Core env & caches ---------------- ENV DEBIAN_FRONTEND=noninteractive TZ=UTC LANG=C.UTF-8 LC_ALL=C.UTF-8 \ PYTHONUNBUFFERED=1 PYTHONDONTWRITEBYTECODE=1 \ PIP_NO_CACHE_DIR=1 PIP_DISABLE_PIP_VERSION_CHECK=1 # GPU/Compute ENV NVIDIA_VISIBLE_DEVICES=all ENV TORCH_CUDA_ARCH_LIST="8.9" ENV CUDA_DEVICE_ORDER=PCI_BUS_ID ENV CUDA_DEVICE_MAX_CONNECTIONS=32 # Threads ENV OMP_NUM_THREADS=8 MKL_NUM_THREADS=8 MAX_JOBS=160 # Alloc/caches ENV PYTORCH_CUDA_ALLOC_CONF=max_split_size_mb:512,garbage_collection_threshold:0.8 ENV CUDA_LAUNCH_BLOCKING=0 CUDA_CACHE_MAXSIZE=2147483648 CUDA_CACHE_DISABLE=0 # App paths ENV APP_HOME=/app WORKDIR $APP_HOME # Persistent data and caches in /data ENV HF_HOME=/data/.cache/huggingface ENV TORCH_HOME=/data/.cache/torch ENV HF_DATASETS_CACHE=/data/.cache/datasets ENV TRANSFORMERS_CACHE=/data/.cache/transformers ENV DIFFUSERS_CACHE=/data/.cache/diffusers ENV HF_HUB_ENABLE_HF_TRANSFER=1 ENV TOKENIZERS_PARALLELISM=false # Create non-root user and data dirs early, fix ownership RUN useradd -m -u 1000 -s /bin/bash appuser && \ mkdir -p /data /data/models \ /data/.cache/huggingface /data/.cache/torch \ /data/.cache/datasets /data/.cache/transformers /data/.cache/diffusers && \ chown -R appuser:appuser /data # Models live in /data/models and are visible at /app/models ENV MODELS_DIR=/data/models RUN ln -sf /data/models /app/models # ---------------- System & Python ---------------- RUN apt-get update && apt-get install -y --no-install-recommends \ build-essential gosu tree cmake git git-lfs curl wget ffmpeg ninja-build \ python3.10 python3.10-dev python3.10-distutils python3-pip \ ca-certificates libglib2.0-0 libgl1 \ && apt-get clean && rm -rf /var/lib/apt/lists/* RUN ln -sf /usr/bin/python3.10 /usr/bin/python3 && \ ln -sf /usr/bin/python3.10 /usr/bin/python && \ python3 -m pip install --upgrade pip # ---------------- PyTorch cu128 (pinned) ---------------- RUN pip install --index-url https://download.pytorch.org/whl/cu128 \ torch>=2.8.0+cu128 torchvision>=0.23.0+cu128 torchaudio>=2.8.0+cu128 # ---------------- Toolchain, Triton, FA2 (no bnb build) ---------------- RUN pip install packaging ninja cmake pybind11 scikit-build cython hf_transfer "numpy>=1.24.4" # Triton 3.x (no triton.ops) RUN pip uninstall -y triton || true && \ pip install -v --no-build-isolation triton==3.4.0 # FlashAttention 2.8.x RUN pip install flash-attn==2.8.3 --no-build-isolation || \ pip install flash-attn==2.8.2 --no-build-isolation || \ pip install flash-attn==2.8.1 --no-build-isolation || \ pip install flash-attn==2.8.0.post2 --no-build-isolation # ---------------- App dependencies ---------------- COPY requirements.txt ./requirements.txt RUN pip install --no-cache-dir -r requirements.txt # Pin bnb to avoid surprise CUDA/PTX mismatches (adjust as needed) RUN pip install --upgrade bitsandbytes # Custom .whl (Apex + dropout_layer_norm) RUN echo "Installing custom wheels..." && \ pip install --no-cache-dir \ "https://huggingface.co/euIaxs22/Aduc-sdr/resolve/main/apex-0.1-cp310-cp310-linux_x86_64.whl" \ "https://huggingface.co/euIaxs22/Aduc-sdr/resolve/main/dropout_layer_norm-0.1-cp310-cp310-linux_x86_64.whl" # ==================================================================== # Optional: q8_kernels + LTX-Video (enable if needed; ensure wheel ABI) RUN pip install --no-cache-dir \ "https://huggingface.co/euIaxs22/Aduc-sdr/resolve/main/q8_kernels-0.0.5-cp310-cp310-linux_x86_64.whl" # RUN git clone https://github.com/Lightricks/LTX-Video.git /data/LTX-Video && \ # cd /data/LTX-Video && python -m pip install -e .[inference] # ==================================================================== # Scripts and app COPY info.sh ./app/info.sh COPY builder.sh ./app/builder.sh COPY start.sh ./app/start.sh COPY entrypoint.sh ./app/entrypoint.sh # Copy the rest of the source last for better caching COPY . . # Permissions on app tree RUN chown -R appuser:appuser /app /data && \ chmod 0755 /app/entrypoint.sh /app/start.sh /app/info.sh /app/builder.sh VOLUME /data ENTRYPOINT ["/app/entrypoint.sh"] USER appuser # ---------------- Entry ---------------- CMD ["/app/start.sh"]