Segment 5

In this sub-session, the assistant finished the Docker container build for curio/cuzk with CUDA 13 supraseal support and pushed it to Docker Hub. Several build blockers were iterated through: removing the Debian-managed python3-pip to fix the SPDK pip upgrade conflict, adding /usr/local/cuda/lib64 to LIBRARY_PATH to resolve a libcudart_static.a linker error, and installing missing runtime libraries (libconfig++, libaio, libfuse3, libarchive). The assistant also created benchmark.sh and run.sh scripts with configurable GPU/partition parameters, added portavailc tunnel support to the entrypoint, and fixed a spurious StorageMetaGC error in curio that occurred on snark-only clusters. Finally, a comprehensive vast.ai management system was designed and documented in vast-cuzk-plan.md, including a Go-based controller with SQLite state tracking, instance lifecycle management, and self-cleanup timeouts.

Complete Docker build and push to Docker HubFix SPDK pip upgrade conflict in Docker buildFix libcudart_static.a linker error in Docker buildInstall missing runtime libraries in Docker imageCreate benchmark.sh and run.sh scriptsAdd portavailc tunnel support to entrypointFix StorageMetaGC error in curioDesign vast.ai management system in vast-cuzk-plan.md

From Build to Fleet: The Complete Engineering of a CUDA Proving Stack 3747 words

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