Karti Tripathi
75aa63d737
ci / rust (push) Successful in 2m26s
Governed compute for unified-memory AI hardware — the 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 two ceilings: a declared budget, and what the machine actually has free. The refusal is the feature. - A 1 Hz watchdog on MemAvailable that stops the newest model before thrash, and defers to a Scene transition rather than racing it. - Scenes: named sets of models activated as one transactional unit, with pre-flight validation and rollback to the previously active Scene on failure. Scenes reference model ids, never weight paths or commands, so a Scene obtained from elsewhere cannot introduce code. - Process ownership bound to (boot_id, pid, start_time_ticks, pgid == pid), so a reused PID can never be group-killed. - A protocol-transparent TCP gateway, so clients keep one address while model runtimes move behind it. - An MCP server, so agents drive the node as tools rather than as a CLI. One binary, no async runtime outside the MCP surface. Apache-2.0. Generated from the internal monorepo by scripts/publish-compute.sh, which refuses to publish a tree it cannot prove clean.
19 lines
345 B
YAML
19 lines
345 B
YAML
apiVersion: lumbridge/v1
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kind: Scene
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metadata:
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name: voice-qwen
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version: 1
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description: "Low-latency voice assistant — Nemotron ASR, Qwen MoE, and Chatterbox."
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author: karti
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tags: [assistant, voice, low-latency, always-on]
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models:
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- ears
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- brain
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- voice
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budget_gb: 100
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activation:
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order: footprint-asc
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wait_healthy: true
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