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update torch dockerfile location.
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docs/guides/python/ai-podcast-part-1.mdx

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@@ -478,9 +478,9 @@ You should get a similiar result to before. The main difference is that the mode
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## Defining our service docker images
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So that the AI workload can use GPUs in the cloud we'll need to make sure it ships with drivers and libraries to support that. We can do this by specifying a custom Dockerfile for our batch service under `docker/torch.dockerfile`.
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So that the AI workload can use GPUs in the cloud we'll need to make sure it ships with drivers and libraries to support that. We can do this by specifying a custom Dockerfile for our batch service under `torch.dockerfile`.
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```dockerfile title: docker/torch.dockerfile
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```dockerfile title: torch.dockerfile
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# The python version must match the version in .python-version
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FROM ghcr.io/astral-sh/uv:python3.11-bookworm-slim AS builder
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We'll also add a dockerignore file to try and keep the image size down.
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```gitignore title: docker/torch.dockerfile.dockerignore
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```gitignore title: torch.dockerfile.dockerignore
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.mypy_cache/
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.nitric/
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.venv/

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