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e99113ae91 |
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@@ -9,7 +9,7 @@ services:
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limits:
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cpus: "${WEBSITE_CPUS:-0.25}"
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memory: ${WEBSITE_MEMORY:-64M}
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pids_limit: 64
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pids: 64
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networks:
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- wizard_website
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@@ -29,7 +29,7 @@ services:
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limits:
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cpus: "${SERVER_CPUS:-1.0}"
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memory: ${SERVER_MEMORY:-512M}
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pids_limit: 256
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pids: 256
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networks:
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- wizard_api
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- wizard_internal
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@@ -58,7 +58,7 @@ services:
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limits:
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cpus: "${AI_CPUS:-1.0}"
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memory: ${AI_MEMORY:-1G}
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pids_limit: 256
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pids: 256
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volumes:
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# Trained checkpoints; replace without rebuilding the image.
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- ./wizard_ai/models:/srv/models:ro
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@@ -60,7 +60,7 @@ Set in `compose.yaml` from `.env` (defaults shown):
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would end all games (state is in memory), so the limit has lots of headroom:
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the server uses ~80 MB idle and ~100 MB with 100 games (see
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[measurements](#measurements)).
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- **Processes** (`pids_limit`) stop fork bombs / thread explosions.
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- **Processes** (`deploy.resources.limits.pids`) stop fork bombs / thread explosions.
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- The AI container sets `OMP_NUM_THREADS` / `MKL_NUM_THREADS` to `AI_WORKERS`,
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so numeric libraries (numpy, torch) don't start one thread per *host* core
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inside a 1-CPU container.
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