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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> |
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| .cargo | ||
| .deploy | ||
| benches | ||
| ci | ||
| crates | ||
| examples/single-gpu-inference | ||
| fuzz | ||
| src | ||
| tests | ||
| xtask | ||
| .dockerignore | ||
| .gitignore | ||
| Cargo.lock | ||
| Cargo.toml | ||
| Dockerfile | ||
| README.md | ||
swactor
Minimal actor runtime for Rust. One trait, one message type.
Single-threaded (tick()) or multi-threaded (run()).
Description
Core runtime is src/. Actors implement ActorInterface (in actor.rs),
interact through Ctx (in runtime.rs), and run on worker threads (worker.rs).
crates/ builds upward: std adds OTP patterns (supervision, monitoring, groups),
distribution adds clustering, everything else composes from there.
Dev commands
cargo xtask --help for available test groups.
Testing
cargo check --workspace
cargo xtask test <your-feature-crate>
cargo xtask test essential