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7 changes: 5 additions & 2 deletions docs/source/guides/cloud_training.rst
Original file line number Diff line number Diff line change
Expand Up @@ -15,11 +15,11 @@ To use Grid, replace ``python`` in your regular command:

python my_model.py --learning_rate 1e-6 --layers 2 --gpus 4

To use the ``grid train`` command:
To use the ``grid run`` command:

.. code-block:: bash

grid train --grid_gpus 4 my_model.py --learning_rate 'uniform(1e-6, 1e-1, 20)' --layers '[2, 4, 8, 16]'
grid run --gpus 4 my_model.py --learning_rate 'uniform(1e-6, 1e-1, 20)' --layers '[2, 4, 8, 16]'

The above command will launch (20 * 4) experiments, each running on 4 GPUs (320 GPUs!) - by making ZERO changes to
your code.
Expand All @@ -37,3 +37,6 @@ Grid Highlights
* Grid handles all the other parts of developing and training at scale: artifacts, logs, metrics, etc.
* Grid works with the experiment manager of your choice, no code changes needed.
* Use Grid Datastores- high-performance, low-latency, versioned datasets.
* Attach Datastores to a Run so you don't have to keep downloading datasets
* Use Grid Sessions for fast prototyping on a cloud machine of your choice
* For more information check the `grid documentation <https://docs.grid.ai/>`_