Governed compute for unified-memory AI hardware — machines where CPU and GPU share one pool and there is no separate VRAM allocation to bounce off. Over-commit that pool and the box thrashes and wedges, SSH and ping included, before the OOM killer gets a turn. Compute does not run inference. It supervises the servers that do: admission control against both a declared budget and what the machine actually has free, a 1 Hz watchdog that stops the newest model before thrash, Scenes activated as one transactional unit with rollback, process ownership bound to (boot_id, pid, start_time_ticks, pgid) so a reused PID can never be group-killed, a protocol-transparent gateway, an MCP server, and a read-only HTTP API for dashboards. Registry footprints in this release are measured on a live node rather than estimated. One binary, six direct dependencies. Apache-2.0. Generated by scripts/publish-compute.sh, which refuses to publish a tree it cannot prove clean.
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apiVersion: lumbridge/v1
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version: 1
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# GPU-free demo registry: each "model" is just a tiny HTTP server so you can watch
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# Lumbridge Compute activates scenes, swap models, and run the watchdog on any Linux box.
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# Run from the repo root: lumbridge-compute --root examples/demo scene activate two
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models:
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alpha:
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name: "Demo Alpha (http.server)"
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footprint_gb: 1
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health: "http://127.0.0.1:9101/"
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serve:
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kind: exec
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port: 9101
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command: ["python3", "-m", "http.server", "9101", "--bind", "127.0.0.1"]
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beta:
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name: "Demo Beta (http.server)"
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footprint_gb: 1
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health: "http://127.0.0.1:9102/"
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serve:
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kind: exec
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port: 9102
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command: ["python3", "-m", "http.server", "9102", "--bind", "127.0.0.1"]
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gamma:
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name: "Demo Gamma (http.server)"
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footprint_gb: 1
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health: "http://127.0.0.1:9103/"
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serve:
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kind: exec
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port: 9103
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command: ["python3", "-m", "http.server", "9103", "--bind", "127.0.0.1"]
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