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bump v1.0.0 (#958)
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.github/workflows/install-test.yml

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runs-on: ubuntu-latest
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name: Install test (Docker runtime image)
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container:
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image: ghcr.io/inclusionai/areal-runtime:v0.5.3
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image: ghcr.io/inclusionai/areal-runtime:v1.0.0
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steps:
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- name: Checkout repository

.github/workflows/tag-release-image.yml

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workflow_dispatch:
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inputs:
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tag:
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description: 'Release tag to build (e.g., v0.5.3)'
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description: 'Release tag to build (e.g., v1.0.0)'
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required: true
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type: string
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docs/tutorial/installation.md

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| Git LFS | Required for downloading models, datasets, and AReaL code. See [installation guide](https://docs.github.com/en/repositories/working-with-files/managing-large-files/installing-git-large-file-storage) |
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| Docker | 27.5.1 |
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| NVIDIA Container Toolkit | See [installation guide](https://docs.nvidia.com/datacenter/cloud-native/container-toolkit/latest/install-guide.html) |
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| AReaL Image | `ghcr.io/inclusionai/areal-runtime:v0.5.3` (includes runtime dependencies and Ray components) |
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| AReaL Image | `ghcr.io/inclusionai/areal-runtime:v1.0.0` (includes runtime dependencies and Ray components) |
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**Note**: This tutorial does not cover the installation of NVIDIA Drivers, CUDA, or
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shared storage mounting, as these depend on your specific node configuration and system
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top-level directory of the AReaL repository.
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```bash
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docker pull ghcr.io/inclusionai/areal-runtime:v0.5.3
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docker pull ghcr.io/inclusionai/areal-runtime:v1.0.0
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docker run -it --name areal-node1 \
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--privileged --gpus all --network host \
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--shm-size 700g -v /path/to/mount:/path/to/mount \
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ghcr.io/inclusionai/areal-runtime:v0.5.3 \
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ghcr.io/inclusionai/areal-runtime:v1.0.0 \
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/bin/bash
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git clone https://github.com/inclusionAI/AReaL /path/to/mount/AReaL
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cd /path/to/mount/AReaL

examples/skypilot/README.md

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cpus: 8+
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memory: 32GB+
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disk_size: 256GB
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image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.5.3
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image_id: docker:ghcr.io/inclusionai/areal-runtime:v1.0.0
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num_nodes: 1
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```yaml
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resources:
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accelerators: A100:8
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image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.5.3
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image_id: docker:ghcr.io/inclusionai/areal-runtime:v1.0.0
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memory: 256+
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cpus: 32+
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examples/skypilot/ray_cluster.sky.yaml

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resources:
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accelerators: A100:8
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image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.5.3
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image_id: docker:ghcr.io/inclusionai/areal-runtime:v1.0.0
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memory: 32+
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cpus: 8+
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examples/skypilot/single_node.sky.yaml

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cpus: 8+
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memory: 32GB+
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disk_size: 256GB
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image_id: docker:ghcr.io/inclusionai/areal-runtime:v0.5.3
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image_id: docker:ghcr.io/inclusionai/areal-runtime:v1.0.0
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num_nodes: 1
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pyproject.toml

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readme = "README.md"
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license = {text = "Apache-2.0"}
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requires-python = ">=3.12,<3.13"
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version = "0.5.3"
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version = "1.0.0"
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authors = [
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{name = "AReaL Team"},
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]

uv.lock

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