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# Lightning & Multi Node Training
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Lightning supports makes multi-node training simple by providing a simple interface to orchestrate compute and data.
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## Multi Node with raw PyTorch
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You can run the multi-node raw PyTorch by running the following commands.
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2022-11-08 12:55:31 +00:00
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Here is an example where you spawn your processes yourself.
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```bash
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lightning run app train_pytorch.py
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```
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or you can use the built-in component for it.
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```bash
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lightning run app train_pytorch_spawn.py
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```
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## Multi Node with raw PyTorch + Lite
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You can run the multi-node raw PyTorch and Lite by running the following commands.
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```bash
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lightning run app train_lite.py
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```
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2022-11-08 12:55:31 +00:00
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Using Lite, you retain control over your loops while accessing in a minimal way all Lightning distributed strategies.
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2022-11-07 09:36:41 +00:00
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## Multi Node with PyTorch Lightning
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Lightning supports running PyTorch Lightning from a script or within a Lightning Work.
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2022-11-08 12:55:31 +00:00
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You can either run a script directly
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2022-11-07 09:36:41 +00:00
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```bash
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lightning run app train_pl_script.py
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```
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2022-11-08 12:55:31 +00:00
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or run your code within as a work.
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2022-11-07 09:36:41 +00:00
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```bash
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lightning run app train_pl.py
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```
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## Multi Node with any frameworks
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```bash
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lightning run app train_any.py
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```
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