Karti Tripathi
91a47fb42c
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. A model starts only if committed + requested + margin fits the budget. The refusal is the feature. - A 1 Hz watchdog on MemAvailable that stops the newest model before thrash. - 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, six direct dependencies, no async runtime outside the MCP surface. Published from the internal monorepo with a fresh history. The private development tree keeps its own history; nothing here carries it.
23 lines
613 B
YAML
23 lines
613 B
YAML
apiVersion: lumbridge/v1
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kind: Scene
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metadata:
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name: voice-gemma
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version: 1
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description: "Efficient voice assistant — Nemotron ASR, Gemma 4 31B, and Chatterbox."
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author: karti
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tags: [assistant, voice, efficient, multimodal]
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# Gemma's mostly-sliding-window attention keeps its footprint well under brain
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# and brain-laguna's, leaving real headroom in the budget beyond Lumbridge Compute's 8 GB
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# admission margin — useful until brain-gemma's footprint is confirmed on
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# real hardware.
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models:
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- ears
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- brain-gemma
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- voice
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budget_gb: 80
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activation:
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order: footprint-asc
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wait_healthy: true
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