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https://github.com/NVIDIA/OpenShell.git
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Drew Newberry
07b5ddac33
## Summary - Track last deployed local changes and only redeploy new deltas in auto mode. - Add per-component fingerprints (server/sandbox/helm) persisted to .cache/cluster-deploy-fast.state. - Update docs for the new incremental deploy behavior. ``` mise run cluster .... ________________________________________________________ Executed in 75.21 secs fish external usr time 578.03 millis 0.25 millis 577.78 millis sys time 364.45 millis 1.22 millis 363.22 millis ``` with a change to `navigator-sandbox` (triggers rust recompile) ``` ⟩ time mise run cluster:deploy [cluster:deploy] $ build/scripts/cluster-deploy-fast.sh Change detection took 0s Fast deploy plan: build server: 0 build sandbox: 1 helm upgrade: 1 ... ________________________________________________________ Executed in 25.88 secs fish external usr time 618.91 millis 0.24 millis 618.67 millis sys time 557.71 millis 1.54 millis 556.18 millis ``` (most time is spent in docker build) ## Test Plan - mise run pre-commit
18 lines
565 B
Docker
18 lines
565 B
Docker
# syntax=docker/dockerfile:1.4
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# NVIDIA GPU-enabled sandbox variant
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#
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# Inherits from the base sandbox image and adds NVIDIA GPU tooling.
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# Build with: docker-build-component.sh sandbox nvidia
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#
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# TODO: Add NVIDIA-specific layers (CUDA toolkit, cuDNN, GPU drivers, etc.)
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ARG BASE_IMAGE=navigator/sandbox:dev
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FROM ${BASE_IMAGE}
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# Placeholder: add NVIDIA GPU packages and configuration here.
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# Example layers to add:
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# - CUDA toolkit and runtime libraries
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# - cuDNN
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# - NVIDIA Container Toolkit integration
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# - GPU-accelerated Python packages (torch, etc.)
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