Chunk 31.0

In this chunk, the user requested unit tests, deployment to vast.ai nodes, and enhanced UI visibility for the redesigned budget-integrated pinned memory pool. The assistant first refactored `pinned_pool.rs` to make it testable by abstracting the CUDA allocator behind a `#[cfg(test)]` mock, allowing comprehensive validation without GPU hardware. Eleven new unit tests were added to the pinned pool module, covering budget tracking on allocation, budget exhaustion preventing new allocations, reuse of free buffers not affecting the budget, and budget release on shrink/drop. Three additional integration tests were written in `memory.rs` to validate the full budget lifecycle for pinned, heap, and mixed scenarios. All 50 tests pass cleanly. The vast-manager web UI was updated to display the new pinned pool statistics (free/live buffers, total bytes) and a stacked memory budget breakdown bar (SRS, PCE, pool, working set, free) for deeper operational visibility. The assistant then built and pushed the updated Docker image (`theuser/curio-cuzk:latest`) to Docker Hub. The `vast-manager` binary was rebuilt and deployed to the management host, with the service successfully restarted. A minimal rebuild Docker image was used to extract the new cuzk binary, which was deployed to the RTX 5090 test machine. After deploying the binary, the old cuzk process was killed and the assistant waited for the ~400 GiB of pinned memory to be freed before starting the new budget-integrated binary. The new binary started successfully and was verified to be running. The deployment pipeline is now ready for broader rollout across the running vast.ai instances, with the core design goal—eliminating arbitrary caps and letting the memory budget naturally govern pool growth—fully realized, tested, and made visible through the monitoring UI.

From Tests to Production: The Complete Engineering Cycle of a Budget-Integrated Pinned Memory Pool 2102 words

Message Articles

Subagent Sessions