Question 1

What is the source of this data?

Accepted Answer

Our data is sourced from job postings collected from millions of companies. We monitor these postings on company websites, job boards, and other recruitment platforms. Analyzing job postings provides a reliable method to understand the technologies companies are employing, including their use of internal tools.

Question 2

How often is the data updated?

Accepted Answer

We refresh our data daily to ensure you are accessing the most current information available. This frequent updating process guarantees that our insights and intelligence reflect the latest developments and trends within the industry.

Question 3

What is Pytorch Lightning?

Accepted Answer

PyTorch Lightning is a popular library built on top of PyTorch a widelyused opensource machine learning framework It simplifies the process of training PyTorch models by providing a highlevel interface with prebuilt components for common tasks such as distributed training mixed precision training and logging This technology aims to abstract the complexities of PyTorch while maintaining flexibility and control for researchers and practitioners

PyTorch Lightning falls under the category of Machine Learning Tools specifically catering to developers and researchers in the field of artificial intelligence It offers a streamlined workflow for building and training machine learning models allowing users to focus more on experimentation and model architecture rather than boilerplate code for training loops and optimizations With its growing popularity PyTorch Lightning has become a goto choice for many machine learning practitioners due to its efficiency and ease of use

Founded in 2019 by William Falcon and a team of researchers and engineers PyTorch Lightning was motivated by the desire to enhance the PyTorch ecosystem by providing a standardized and efficient way to build and train models Since its inception PyTorch Lightning has gained significant traction within the machine learning community for its performance improvements and developerfriendly design The project continues to evolve with regular updates and contributions from a thriving opensource community

Currently PyTorch Lightning holds a notable market share within the Machine Learning Tools category with an increasing number of users adopting the library for their projects Given its trajectory and continuous enhancements it is anticipated that PyTorch Lightning will experience further growth in the future as more developers embrace its productivityboosting features and streamlined approach to deep learning model training

Question 4

How to get an updated list of companies that use Pytorch Lightning?

Accepted Answer

You can access an updated list of companies using Pytorch Lightning by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

Question 5

How many customers does Pytorch Lightning have?

Accepted Answer

As of now, we have data on 111 companies that use Pytorch Lightning.

Question 6

Who uses Pytorch Lightning?

Accepted Answer

Pytorch Lightning is used by a diverse range of organizations across various industries, including "Software Development", "Software Development", "Software Development", "Software Development", "Appliances, Electrical, and Electronics Manufacturing", "Financial Services", "Pharmaceutical Manufacturing", "Software Development", "Biotechnology Research", "Defense and Space Manufacturing". For a comprehensive list of all industries utilizing Pytorch Lightning, please visit TheirStack.com.

Question 7

What companies use Pytorch Lightning?

Accepted Answer

Some of the companies that use Pytorch Lightning include Scale AI, Matterport, Cognitive GeoInterpretation Inc., Microsoft, Eaton, JPMorganChase, Bristol Myers Squibb, Autodesk, Genentech, Grey Matters Defense Solutions, LLC and many more. You can find a complete list of 111 companies that use Pytorch Lightning on TheirStack.com.

Question 8

In which countries Pytorch Lightning is used the most?

Accepted Answer

Based on our data, Pytorch Lightning is most popular in Ireland (1 companies), Poland (2 companies), Canada (1 companies), Spain (1 companies), United States (45 companies), India (5 companies), United Kingdom (4 companies), Israel (1 companies), France (4 companies), Switzerland (1 companies). However, it is used by companies all over the world.

Question 9

How to find companies that use Pytorch Lightning?

Accepted Answer

You can find companies using Pytorch Lightning by searching for it on TheirStack.com, We track job postings from millions of companies and use them to discover what technologies and internal tools they are using.

Company	Country	Industry	Employees	Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
Company name Industry Size Revenue
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Companies that use Pytorch Lightning

How to target Pytorch Lightning users

Pytorch Lightning customers by country

United States

India

United Kingdom

France

Germany

Poland

Ireland

Canada

Spain

Israel

List of companies using Pytorch Lightning

What is the source of this data?

What is the source of this data?

How often is the data updated?

How often is the data updated?

What is Pytorch Lightning?

What is Pytorch Lightning?

How to get an updated list of companies that use Pytorch Lightning?

How to get an updated list of companies that use Pytorch Lightning?

How many customers does Pytorch Lightning have?

How many customers does Pytorch Lightning have?

Who uses Pytorch Lightning?

Who uses Pytorch Lightning?

What companies use Pytorch Lightning?

What companies use Pytorch Lightning?

In which countries Pytorch Lightning is used the most?

In which countries Pytorch Lightning is used the most?

How to find companies that use Pytorch Lightning?

How to find companies that use Pytorch Lightning?

Pytorch Lightning alternatives and competitors

TensorFlow

PyTorch

scikit-learn

ML Flow

MLflow

Microsoft LUIS

Amazon SageMaker

ENorm

CUDA

Stan

Kubeflow

Neuro

Azure Machine Learning

Lateral

Streamlit

Amazon Machine Learning

NLTK

Perplexity

Triton

Amazon Text to Speech

Kur

Caffe

Appen

Propel

Ludwig

IBM Watson

Document AI

Aquarium

Fritz

Lamina

Apache MXNet

MXNet

Amazon Textract

Tensorflow Lite

Google AI Platform

Renate

Clipper

Igel

DeepSpeed

Amazon Comprehend

Bard AI

Microsoft Cognitive Services

RAPIDS

Weka

Gradio

OpenVINO

Apache Spark MLlib