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Grid.ai enables companies of all sizes to train state-of-the-art AI models on hundreds of cloud GPUs

Best AI and Deep learning books to read in 2022 | AI Summer 12/31/2021

βš‘οΈπŸ“š Our VP of Engineering Luca Antiga curated this awesome list of AI and Deep Learning books to help you plan your 2022 reading!

Best AI and Deep learning books to read in 2022 | AI Summer A list of the top books to learn deep learning divided into four distinct categories. Personal reviews are included for each one of them.

Welcome! You are invited to join a webinar: Tackling MLOps: A New Collaborative Machine Learning Platform. After registering, you will receive a confirmation email about joining the webinar. 05/13/2021

πŸ—£ Join our next Thursday, May 20th, at 12 PM EST, as Luis Capelo and Poonam Chitale discuss Grid, a new collaborative platform out to change .

Register here:

Welcome! You are invited to join a webinar: Tackling MLOps: A New Collaborative Machine Learning Platform. After registering, you will receive a confirmation email about joining the webinar. As the machine learning ops industry evolves, AI researchers must run through ideas quickly and not worry about infrastructure, especially when training models. Grid is a new platform designed to tackle MLOps. Grid seamlessly allows training of machine learning models on the cloud from your laptop w...

05/04/2021

πŸ‘‹ Join us with PyTorch Lightning during our ICLR virtual hall, May 5th, 9-11 am EST via Gather.town

Hear from CEO Will Falcon, Lightning's Head of Developer Advocacy Ari Bornstein, and Lightning Contributor Aishwarya Srivinasan. Network, learn about the newest releases, and more! https://iclr.cc/virtual/2021/social/4411

04/23/2021

πŸ“£ 🀩 We're excited to release ! πŸ“£

We created a new library integrating PyTorch Lightning ⚑️, Transformers πŸ€— and , to scale up research across multiple modalities.

Read more: bit.ly/3sDScW3
GitHub: https://bit.ly/3atQoss

NVIDIA GTC '21 - Half The Memory with Zero Code Changes: Sharded Training with Pytorch Lightning 04/16/2021

πŸ’ ICYMI at NVIDIA GTC: William Falcon and Sean Narenthiran cover sharded training and how to train models at scale using , and how to easily track your benchmarks using Grid! https://bit.ly/3gcWLUN

NVIDIA GTC '21 - Half The Memory with Zero Code Changes: Sharded Training with Pytorch Lightning Learn how to train large state-of-the-art models on multiple GPUs or nodes, using half the memory with no speed degradation or code change required! Grid CEO...

04/07/2021

πŸ‘©πŸΎβ€πŸ’» Join us for our upcoming virtual event to hear William Falcon and Thomas Chaton discuss the latest innovations at Grid.ai and on April 13 at 11 am ET! Register here: https://zoom.us/webinar/register/921617773892/WN_yW66h71HSz-MXWNGAu6OOg

03/24/2021

Watch Episode 4 of our Lightning Talks Series with Aishwarya Srinivasan and Sachin Abeywardana, Sr. ML Engineer Canva. They discuss how Sachin uses PyTorch Lightning for training OpenAI's multilingual CLIP. https://youtu.be/MNZcoCR05dk

03/19/2021

πŸ‘πŸ½ A big thank you to Pete Soderling and Data Council for having our CEO and founder William Falcon as your DC_THURS guest! https://youtu.be/wuOfBO-Rjaw

03/18/2021

πŸ‘πŸ½ Excited to welcome Edgar Riba, creator of Kornia and previous member of OpenCV as a Research Scientist at Grid.ai and . With Edgar’s arrival, Grid.ai is officially Kornia’s new home! https://kornia.github.io/

William Falcon: The PyTorch Lightning Story 12/31/2020

Listen to William Falcon's journey into and with an interview hosted by Sanyam Bhutani from Chai Time Data Science | CTDS.Show.

William Falcon: The PyTorch Lightning Story Audio (Podcast Version) available here: https://anchor.fm/chaitimedatascienceSubscribe here to the newsletter: https://tinyletter.com/sanyambhutaniIn this ep...

Grid AI 12/28/2020

Seamlessly train hundreds of machine learning models on the cloud from your laptop. Focus on machine learning, not infrastructure. Get early access:

Grid AI The makers of PyTorch Lightning brought the philosophy of power, simplicity and usability to model training. Other frameworks can leverage some of the magic too.

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