Zachery Aaron Shores-Chmielewski
0ffc5fd275
mvp-system: provisioner actor, provisioning module, node_agent, dashboard_view, observability_surface; expand gpu_worker ctl/ingress/egress and run_plan. iroh-driver: replace relay binary with datastream_transport; datastream gains endpoint abstraction. Archive pipeline-parallel-inference app to old-pipeline-parallel-inference. Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com>
22 lines
1,015 B
Bash
22 lines
1,015 B
Bash
# WAN run on leased vast.ai GPUs. Copy to profiles/local.env and fill in the
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# relay URL + image; keep that copy untracked.
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#
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# PP_PROFILE=profiles/local.env cargo run --bin pp-orchestrator -- \
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# --vastai --api-key "$VASTAI_API_KEY"
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#
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# All nodes home onto one operator-controlled relay so they can hole-punch /
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# fall back to relaying across the public internet.
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# Required for WAN: the relay every container connects through. PLACEHOLDER —
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# replace with your iroh-driver-relay endpoint in profiles/local.env.
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SWACTOR_IROH_RELAY_URL=https://relay.example.com
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NUM_STAGES=2
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PP_IMAGE=swactor-pp-gpu:latest
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# GPU filters are optional. Leave both unset to let any verified 1-GPU offer
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# qualify (a 1B model fits anywhere). Set PP_GPU="RTX 3060" to pin a model, and/or
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# PP_GPU_MIN_RAM_MB=8000 to require a VRAM floor.
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# llama3.2:1b -> HF Llama-3.2-1B-Instruct-Q6_K.gguf (16 blocks, sharded across
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# the N stages by compute_layer_range; validated key baked into the image).
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MODEL=llama3.2:1b
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MAX_TOKENS=64
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