dynamo/lib/runtime
Yan Ru Pei d319abf3a3
feat: upload/download rust structs directly through NATs object store (#2540)
2025-08-20 17:17:21 +00:00
..
examples chore: Bumped Dynamo version to 0.4.1 (#2545) 2025-08-19 21:55:37 -04:00
lib/bindings/python fix: move docker-compose.yml to deploy/, and update frontend port (#2121) 2025-07-25 23:07:57 +00:00
src feat: upload/download rust structs directly through NATs object store (#2540) 2025-08-20 17:17:21 +00:00
tests fix: Integration tests fixes (#2161) 2025-07-31 15:07:06 -07:00
Cargo.toml feat: upload/download rust structs directly through NATs object store (#2540) 2025-08-20 17:17:21 +00:00
LICENSE refactor: move libs to lib dir 2025-02-24 18:21:02 -08:00
README.md docs: Add sphinx-theme based userguides (#528) 2025-05-21 22:41:34 +08:00

README.md

Dynamo Runtime

A Datacenter Scale Distributed Inference Serving Framework

License

Rust implementation of the Dynamo runtime system, enabling distributed computing capabilities for machine learning workloads.

Prerequisites

Install Rust and Cargo using rustup:

curl --proto '=https' --tlsv1.2 -sSf https://sh.rustup.rs | sh

Build

cargo build
cargo test

Start Dependencies

Docker Compose

The simplest way to deploy the pre-requisite services is using docker-compose, defined in deploy/docker-compose.yml.

# At the root of the repository:
docker compose -f deploy/docker-compose.yml up -d

This will deploy a NATS.io server and an etcd server used to communicate between and discover components at runtime.

Local (alternate)

To deploy the pre-requisite services locally instead of using docker-compose above, you can manually launch each:

Run Examples

When developing or running examples, any process or user that shared your core-services (etcd and nats.io) will be operating within your distributed runtime.

The current examples use a hard-coded namespace. We will address the namespace collisions later.

All examples require the etcd and nats.io pre-requisites to be running and available.

Rust hello_world

With two terminals open, in one window:

cd examples/hello_world
cargo run --bin server

In the second terminal, execute:

cd examples/hello_world
cargo run --bin client

which should yield some output similar to:

    Finished `dev` profile [unoptimized + debuginfo] target(s) in 6.25s
     Running `target/debug/client`
Annotated { data: Some("h"), id: None, event: None, comment: None }
Annotated { data: Some("e"), id: None, event: None, comment: None }
Annotated { data: Some("l"), id: None, event: None, comment: None }
Annotated { data: Some("l"), id: None, event: None, comment: None }
Annotated { data: Some("o"), id: None, event: None, comment: None }
Annotated { data: Some(" "), id: None, event: None, comment: None }
Annotated { data: Some("w"), id: None, event: None, comment: None }
Annotated { data: Some("o"), id: None, event: None, comment: None }
Annotated { data: Some("r"), id: None, event: None, comment: None }
Annotated { data: Some("l"), id: None, event: None, comment: None }
Annotated { data: Some("d"), id: None, event: None, comment: None }

Python

See the README.md for details

The Python and Rust hello_world client and server examples are interchangeable, so you can start the Python server.py and talk to it from the Rust client.