We have data on 59,964 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 2 years and 4 months.
| Company | uShip |
| Website | uship.com |
| Country | United States |
| Revenue | 50M-100M |
| Company Size | 50-200 |
| Company | Mohawk Industries, Inc. |
| Website | mohawkind.com |
| Country | United States |
| Revenue | >10B |
| Company Size | >10000 |
| Company | Pure Storage |
| Website | purestorage.com |
| Country | United States |
| Revenue | 1B-5B |
| Company Size | 5000-10000 |
| Company | EnergyHub |
| Website | energyhub.com |
| Country | United States |
| Revenue | 100M-200M |
| Company Size | 50-200 |
| Company | NuORDER |
| Website | nuorder.com |
| Country | United States |
| Revenue | 1M-10M |
| Company Size | 50-200 |
| Company | Website | Country | Revenue | Company Size |
|---|---|---|---|---|
| uShip | uship.com | United States | 50M-100M | 50-200 |
| Mohawk Industries, Inc. | mohawkind.com | United States | >10B | >10000 |
| Pure Storage | purestorage.com | United States | 1B-5B | 5000-10000 |
| EnergyHub | energyhub.com | United States | 100M-200M | 50-200 |
| NuORDER | nuorder.com | United States | 1M-10M | 50-200 |
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 23.7%. 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 (22%), Computer Software (16%) and Internet (7%) are the largest segments.
37% of Pytorch customers are in United States, 10% are in India and 5% are in United Kingdom.
Of all the customers that are using Pytorch, 42% are small (<50 employees), 39% are medium-sized and 19% are large (>1000 employees).
Of all the customers that are using Pytorch, a majority (64%) are small (<$50M), 12% are large (>$1000M) and 14% are medium-sized.