49 lines
1.7 KiB
ReStructuredText
49 lines
1.7 KiB
ReStructuredText
.. _grid:
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##############
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Cloud Training
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##############
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Lightning makes it easy to scale your training, without the boilerplate.
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If you want to train your models on the cloud, without dealing with engineering infrastructure and servers, you can try `Grid.ai <https://www.grid.ai/>`_.
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Developed by the creators of `PyTorch Lightning <https://www.pytorchlightning.ai/>`_, Grid is a platform that allows you to:
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- **Scale your models to multi-GPU and multiple nodes** instantly with interactive sessions
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- **Run Hyperparameter Sweeps on 100s of GPUs** in one command
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- **Upload huge datasets** for availability at scale
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- **Iterate faster and cheaper**, you only pay for what you need
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****************
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Training on Grid
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****************
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.. raw:: html
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<video width="50%" max-width="400px" controls
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poster="https://grid-docs.s3.us-east-2.amazonaws.com/grid.png"
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src="https://pl-bolts-doc-images.s3.us-east-2.amazonaws.com/pl_docs/grid.mp4"></video>
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You can launch any Lightning model on Grid using the Grid `CLI <https://pypi.org/project/lightning-grid/>`_:
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.. code-block:: bash
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grid run --instance_type v100 --gpus 4 my_model.py --accelerator 'gpu' --devices 4 --learning_rate 'uniform(1e-6, 1e-1, 20)' --layers '[2, 4, 8, 16]'
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You can also start runs or interactive sessions from the `Grid platform <https://platform.grid.ai>`_, where you can upload datasets, view artifacts, view the logs, the cost, log into tensorboard, and so much more.
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**********
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Learn More
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**********
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`Sign up for Grid <http://platform.grid.ai>`_ and receive free credits to get you started!
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`Grid in 3 minutes <https://docs.grid.ai/#introduction>`_
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`Grid.ai Terms of Service <https://www.grid.ai/terms-of-service/>`_
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