We have data on 8,313 companies that use Pytorch. The companies using Pytorch are most often found in United States and in the Information Technology and Services industry. Pytorch is most often used by companies with 10-50 employees and 1M-10M dollars in revenue. Our data for Pytorch usage goes back as far as 10 months.
Company | Pure Storage Inc |
Website | purestorage.com |
Country | United States |
Revenue | >1000M |
Company Size | 5000-10000 |
Company | Earnest Operations LLC |
Website | meetearnest.com |
Country | United States |
Revenue | 100M-200M |
Company Size | 200-500 |
Company | Gigster Inc. |
Website | trygigster.com |
Country | United States |
Revenue | 100M-200M |
Company Size | 500-1000 |
Company | Searchspring |
Website | searchspring.com |
Country | United States |
Revenue | 10M-50M |
Company Size | 50-200 |
Company | AutoScout24 GmbH |
Website | autoscout24.de |
Country | Germany |
Revenue | 200M-1000M |
Company Size | 500-1000 |
Company | Website | Country | Revenue | Company Size |
---|---|---|---|---|
Pure Storage Inc | purestorage.com | United States | >1000M | 5000-10000 |
Earnest Operations LLC | meetearnest.com | United States | 100M-200M | 200-500 |
Gigster Inc. | trygigster.com | United States | 100M-200M | 500-1000 |
Searchspring | searchspring.com | United States | 10M-50M | 50-200 |
AutoScout24 GmbH | autoscout24.de | Germany | 200M-1000M | 500-1000 |
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including Machine Learning. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the Machine Learning category, Pytorch has a market share of about 9.5%. Other major and competing products in this category include:
Pytorch is an open source machine learning (ML) framework that accelerates the path from research prototyping to production deployment. It enables fast, flexible experimentation and efficient production through a user-friendly front-end, distributed training and ecosystem of tools and libraries. Torchaudio is a library for audio and signal processing with PyTorch. It provides I/O, signal and data processing functions, datasets, model implementations and application components. With TorchScript, Pytorch provides ease-of-use and flexibility, while seamlessly transitioning to graph mode for speed, optimization and functionality in C++ runtime environments. TorchServe is an easy to use tool for deploying PyTorch models at scale. It is cloud and environment agnostic and supports features such as multi-model serving, logging, metrics and the creation of RESTful endpoints for application integration.
Looking at Pytorch customers by industry, we find that Information Technology and Services (19%), Computer Software (15%) and Higher Education (10%) are the largest segments.
42% of Pytorch customers are in United States, 6% are in France, 6% are in United Kingdom and 5% are in India.
Of all the customers that are using Pytorch, 27% are small (<50 employees), 36% are medium-sized and 36% are large (>1000 employees).
Of all the customers that are using Pytorch, 43% are small (<$50M), 17% are medium-sized and 36% are large (>$1000M).