swactor/examples/single-gpu-inference/Makefile

.PHONY: venv clean-venv

VENV_DIR := .venv
PYTHON := $(VENV_DIR)/bin/python

venv: $(VENV_DIR)/bin/python

$(VENV_DIR)/bin/python:
	uv venv $(VENV_DIR) --python python3.11
	uv pip install --python $(VENV_DIR)/bin/python "tinygrad==0.12.0" numpy

clean-venv:
	rm -rf $(VENV_DIR)
feat: Working vastai single-node deployment for LLM inference Add a complete single-GPU distributed-inference example that rents a vast.ai GPU, boots a worker container, and runs a prompt end-to-end over iroh/SWIM. - examples/single-gpu-inference: add the `single_gpu_inference` orchestrator binary that starts a local iroh node, waits for the remote gpu-node to register the `"inference"` SWIM name, then sends an `InferenceRequest` and prints the response - examples/single-gpu-inference: add the `gpu_node` binary that joins the cluster via `SEED_ADDR`, spawns an `InferenceActor` over `tinygrad_worker.py`, and registers the `"inference"` bridge - inference_actor: bridge swactor messaging to a Python child process via stdin/stdout JSON, with `ProcessBridge`/`RequestBridge` adapters that satisfy the single-`Incoming` actor constraint - iroh_transport: add `IrohActorTransport` that sends `WireEnvelope`s over iroh QUIC uni-streams (connection-cached against early close), plus wire encode/decode and an inbound drain helper - vastai: add a vast.ai REST client (`find_offer` with reliability/cuda/geo filters excluding CN, `create_instance`, `wait_for_running`, `destroy_instance`) parameterised by a mockable `base_url` - worker/docs/tests: ship `tinygrad_worker.py`/`echo_worker.py` (newline-JSON, `--stub`/`--model` defaulting to llama3.2:1b), a Dockerfile, Makefile, SPEC, and actor/codec/cluster/integration/vastai test suites Signed-off-by: Zachery Aaron Shores-Chmielewski <zacheryasc@gmail.com> 2026-05-14 07:19:28 +00:00			`.PHONY: venv clean-venv`

			`VENV_DIR := .venv`
			`PYTHON := $(VENV_DIR)/bin/python`

			`venv: $(VENV_DIR)/bin/python`

			`$(VENV_DIR)/bin/python:`
			`uv venv $(VENV_DIR) --python python3.11`
			`uv pip install --python $(VENV_DIR)/bin/python "tinygrad==0.12.0" numpy`

			`clean-venv:`
			`rm -rf $(VENV_DIR)`