Chunk 4.0

The primary task in this chunk was constructing a Docker container (`Dockerfile.cuzk`) to bundle the Curio Go binary, the cuzk Rust/CUDA daemon, and all dependencies for mainnet 32GiB proving, with parameters fetched at runtime via an entrypoint script. The assistant successfully researched the existing OpenCL-based Dockerfile and the complex build system to design a multi-stage build using CUDA 13 devel and runtime base images, then wrote the `docker/cuzk/entrypoint.sh` script to handle the initial parameter download. Initiating the Docker build revealed several environment-specific blockers that required iterative fixes. The assistant resolved a missing `jq` dependency, a missing `libcuda.so.1` symlink in the CUDA toolkit stubs directory (required by the bellperson build script for GPU detection), and Python PEP 668 restrictions on pip installations by setting `PIP_BREAK_SYSTEM_PACKAGES=1`. These fixes allowed the core FFI compilation to succeed, validating the core build path. Despite these successes, the build ultimately stalled during the supraseal SPDK dependency setup due to a `pip uninstall` error caused by a missing RECORD file in the base image's Python environment. The overarching themes of this chunk highlight the extreme complexity of containerizing a project with such a heterogeneous stack (Go, Rust, C++, CUDA, Python build tools) and the necessity of deep, iterative debugging against the specific quirks of the chosen base image environment.

From Blueprint to Blocker: The Iterative Journey of Containerizing a Heterogeneous Proving Stack 2410 words

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