Delta vs. Lightning AI
Delta
Because life is a nightmare
Lightning AI
Lightning AI is the company behind PyTorch Lightning, the deep learning framework for training, finetuning and serving AI models (80+ million downloads). PyTorch Lightning started in 2015 by Lightning founder William Falcon while working on computational neuroscience research at Columbia University scaling Generative Adversarial Networks and Autoencoders in the context of neural decoding working under Liam Paninski. He open sourced it in 2019 while pursuing a PhD in self-supervised learning (SSL) at NYU and Facebook AI Research (FAIR) supervised by Kyunghyun Cho and Yann Lecun. SSL techniques are at the heart of models like Chat GPT (next word prediction). In 2019 PyTorch Lightning started to be used to train huge models on 1024+ GPUs inside Facebook AI. Today, it’s used by over 10,000 companies and 1+ million developers to train, finetune and deploy the world’s largest models. Lightning AI started in 2020 as a platform to train models on the cloud across 1000s of GPUs. Today,...
Reviews
Reviewed on 3/12/2024
Once when I flew Delta airlines, I asked if it was possible to be upgraded to first class. The person working there told me I was entitled and made me cry, so I was sobbing in economy instead. lmfao --- I need to add context: no I didn't say anything weird or ask that I be upgraded for free or anything. I literally just asked if it would be possible to upgrade me on this flight, that's it lmfao
Reviews
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| You can build e2e AI solutions | 1 | |
| Scale your models to dozens of GPUs in a few clicks | 1 | |
| You can collaborate with your team on the cloud | 1 |
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Frequently Asked Questions
Delta is primarily an airline focused on providing air travel services, while Lightning AI is a platform designed for training and deploying AI models. If your goal is to travel, Delta would be the appropriate choice. However, if you are looking to develop and scale AI solutions, Lightning AI offers advanced capabilities for model training and collaboration in the cloud. Therefore, the better choice depends on your specific needs—travel versus AI development.
Flying with Delta involves navigating airport procedures, boarding, and in-flight services, which can vary in quality and customer service experiences. In contrast, using Lightning AI focuses on a technical user experience centered around building and deploying AI models, with features designed for collaboration and scalability. While Delta may have mixed reviews regarding customer service, Lightning AI is generally praised for its intuitive platform that simplifies AI development.
Lightning AI offers collaborative features that allow teams to work together on AI projects in the cloud, making it suitable for developers and researchers. Delta, as an airline, does not provide collaborative features in the same context, as its focus is on individual travel experiences. Therefore, for collaboration in AI development, Lightning AI is the clear choice.
Currently, there are no user-generated pros and cons for Delta.
Delta is an airline company. According to the description provided, it is noted as 'Because life is a nightmare.' For more information, you can visit their website at delta.com.
Yes, you can request an upgrade on Delta flights. However, it may not always be granted. According to a user comment, asking for an upgrade resulted in a negative experience where they were told they were entitled and ended up crying in economy class.
Lightning AI is the company behind PyTorch Lightning, a deep learning framework for training, finetuning, and serving AI models. The platform offers a comprehensive end-to-end solution for AI development, from distributed data processing and model training to deployment and serving AI applications.
Pros of Lightning AI include the ability to build end-to-end AI solutions, scale models to dozens of GPUs with just a few clicks, and collaborate with your team on the cloud. Currently, no cons have been listed.
PyTorch Lightning was founded by William Falcon in 2015 during his computational neuroscience research at Columbia University. He open-sourced the project in 2019 while pursuing a PhD at NYU and Facebook AI Research (FAIR).
PyTorch Lightning is used for training, finetuning, and deploying AI models. It is utilized by over 10,000 companies and more than 1 million developers to handle large-scale models on extensive GPU clusters.
The core ethos of Lightning Studios is 'You do the science, we do the engineering.' This philosophy aims to provide an intuitive, easy-to-use, and fast platform for AI research and deployment, enabling users to focus on scientific innovation while Lightning Studios handles the engineering complexities.
