docker/docker-compose.yml

# DaisyChain demo cluster: 3 node containers + a dashboard on one Docker network.
# In production each node is a real machine (see docs/TAILSCALE.md); this brings
# the whole thing up on one box so you can see it work.
#
#   docker compose -f docker/docker-compose.yml up --build
#   open http://localhost:8080
name: daisychain
x-node: &node
  build: { context: .., dockerfile: docker/Dockerfile }
  image: daisychain:latest
  environment: &env
    MASTER_ADDR: rank0
    MASTER_PORT: "29560"
    WORLD_SIZE: "3"
    DAISY_STEPS: "300"
    DAISY_STEP_SLEEP: "0.1"      # demo pacing so the dashboard shows it live
    # train through the emulated GPU logic (verified INT8 units) by default
    DAISY_TASK: "daisychain.verified_task:VerifiedTask"
  networks: [cluster]

services:
  rank0:
    <<: *node
    environment: { <<: *env, RANK: "0", DAISY_CAPACITY: "8000" }
  rank1:
    <<: *node
    depends_on: [rank0]
    environment: { <<: *env, RANK: "1", DAISY_CAPACITY: "4000" }
  rank2:
    <<: *node
    depends_on: [rank0]
    environment: { <<: *env, RANK: "2", DAISY_CAPACITY: "2000" }
  dashboard:
    build: { context: .., dockerfile: docker/dashboard.Dockerfile }
    image: daisychain-dashboard:latest
    depends_on: [rank0, rank1, rank2]
    environment:
      DAISY_NODES_FILE: config/nodes.example.json
      DAISY_EXPECTED_WORLD: "3"
      DAISY_BASE_BATCH: "32"
    ports: ["8080:8080"]
    networks: [cluster]

networks:
  cluster: { driver: bridge }