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compute/examples/demo/registry/models.yaml
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Karti Tripathi a4490ec80e
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Lumbridge Compute
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.
2026-08-03 22:23:56 -07:00

35 lines
985 B
YAML

apiVersion: lumbridge/v1
version: 1
# GPU-free demo registry: each "model" is just a tiny HTTP server so you can watch
# Lumbridge Compute activates scenes, swap models, and run the watchdog on any Linux box.
# Run from the repo root: lumbridge-compute --root examples/demo scene activate two
models:
alpha:
name: "Demo Alpha (http.server)"
footprint_gb: 1
health: "http://127.0.0.1:9101/"
serve:
kind: exec
port: 9101
command: ["python3", "-m", "http.server", "9101", "--bind", "127.0.0.1"]
beta:
name: "Demo Beta (http.server)"
footprint_gb: 1
health: "http://127.0.0.1:9102/"
serve:
kind: exec
port: 9102
command: ["python3", "-m", "http.server", "9102", "--bind", "127.0.0.1"]
gamma:
name: "Demo Gamma (http.server)"
footprint_gb: 1
health: "http://127.0.0.1:9103/"
serve:
kind: exec
port: 9103
command: ["python3", "-m", "http.server", "9103", "--bind", "127.0.0.1"]