Focus on machine learning, NOT infrastructure.
From the creators of PyTorch Lightning.
Website • Runs • Interactive Sessions • Docs • Run Examples • Join our Slack • PyTorch Lightning
Grid.AI lets you seamlessly train hundreds of machine learning models on the cloud from your laptop.
Note: This repository will host the opensource components of Grid once they are ready. In the meantime please use this to request features and to get help.
Grid follows the same philosophy that we use for PyTorch Lightning:
- Let the user focus on machine learning not engineering.
- Remove all the infrastructure engineering so the user can focus.
- Focused on reproducibility
- Runs: Run (and sweep) any private or public Github repository.
- Sessions: Interactive machines (with multiple GPUs) optimized for development.
- Datastores: Low-latency, high-performance, auto-versioned datasets.
- Realtime costs + much more
Visit Grid.AI
Run (and sweep) any private or public Github repository on the cloud.
# install
pip install lightning-grid
# login
grid login
# clone the repo
git clone https://github.com/williamFalcon/cifar5.git
cd cifar5
# start run!
grid run --instance_type 8_v100_32gb project/lit_image_classifier.py --gpus 1 --learning_rate "uniform(1e-5, 1e-1, 8)"The command above generates 8 experiments
(flash) ➜ project git:(master) grid status gifted-seahorse-83
✔ Fetching experiment status ... done!
┏━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━┳━━━━━━━━┳━━━━━━━━━━━━━┳━━━━━━┳━━━━━━━━━━━━━━━━━━━━━━┓
┃ Experiment ┃ Command ┃ Status ┃ Duration ┃ gpus ┃ learning_rate ┃
┡━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━╇━━━━━━━━╇━━━━━━━━━━━━━╇━━━━━━╇━━━━━━━━━━━━━━━━━━━━━━┩
│ gifted-seahorse-83-exp7 │ /project/lit_image_classifier.py │ queued │ 0d-00:00:21 │ 1 │ 0.07858944673974376 │
│ gifted-seahorse-83-exp6 │ /project/lit_image_classifier.py │ queued │ 0d-00:00:21 │ 1 │ 0.0492955135740864 │
│ gifted-seahorse-83-exp5 │ /project/lit_image_classifier.py │ queued │ 0d-00:00:21 │ 1 │ 0.005299488022082154 │
│ gifted-seahorse-83-exp4 │ /project/lit_image_classifier.py │ queued │ 0d-00:00:21 │ 1 │ 0.09214628765569398 │
│ gifted-seahorse-83-exp3 │ /project/lit_image_classifier.py │ queued │ 0d-00:00:21 │ 1 │ 0.04288827588691595 │
│ gifted-seahorse-83-exp2 │ /project/lit_image_classifier.py │ queued │ 0d-00:00:21 │ 1 │ 0.02618640734272168 │
│ gifted-seahorse-83-exp1 │ /project/lit_image_classifier.py │ queued │ 0d-00:00:21 │ 1 │ 0.03269913908273296 │
│ gifted-seahorse-83-exp0 │ /project/lit_image_classifier.py │ queued │ 0d-00:00:21 │ 1 │ 0.06192848686653007 │
└─────────────────────────┴──────────────────────────────────┴────────┴─────────────┴──────┴──────────────────────┘Sessions allow you to develop models interactively with direct ssh, VSCode and Jupyter Notebook access already built-in.
Or via the CLI
grid session create --instance_type 8_v100_32gbThe Grid community is the place to chat about Deep Learning, machine learning and anything about scaling up production or research projects! Join our slack
Contribute to our documentation https://github.com/gridai/grid-docs
If you have any questions here are some things you can do:
- Read the docs.
- Start a discussion.
- Create a Github issue.
- Send us a message on slack
For enterprise features, upgrades and support, register your interest here
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