Companies that use Caffe2

Frequently asked questions

What is the source of this data?

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.

How often is the data updated?

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.

What is Caffe2?

Caffe2 is an open-source deep learning framework developed by Facebook to support machine learning models and enable efficient large-scale experimentation. It provides a flexible architecture that allows seamless deployment across different platforms and devices, making it a preferred choice for researchers and developers working on complex neural network projects.

In the realm of Machine Learning Tools, Caffe2 falls under the category of deep learning frameworks. It specifically focuses on providing a framework that is scalable, efficient, and highly customizable for deep learning applications. With its emphasis on speed and modularity, Caffe2 empowers users to quickly prototype and deploy advanced machine learning models in various domains, including computer vision, natural language processing, and more.

Founded in 2017 by Facebook, Caffe2 was created as an evolution of the original Caffe framework to address the need for a more scalable and efficient deep learning platform. The motivation behind Caffe2 was to build a system that could handle production-level workloads while maintaining the flexibility and ease of use that made Caffe popular among researchers and developers.

In terms of current market share, Caffe2 has established itself as a prominent player in the deep learning framework landscape, with a solid user base and active community support. While facing competition from other popular frameworks like TensorFlow and PyTorch, Caffe2 continues to attract users due to its performance optimization capabilities and robust feature set. With the growing demand for deep learning solutions in various industries, the forecast indicates a positive trajectory for Caffe2's market share, suggesting potential growth in the future.

How to get an updated list of companies that use Caffe2?

You can access an updated list of companies using Caffe2 by visiting TheirStack.com. Our platform provides a comprehensive database of companies utilizing various technologies and internal tools.

How many customers does Caffe2 have?

As of now, we have data on 166 companies that use Caffe2.

Who uses Caffe2?

Caffe2 is used by a diverse range of organizations across various industries, including "Software Development", "Software Development", "Computer Hardware Manufacturing", "Telecommunications", "It Services And It Consulting", "Medical Equipment Manufacturing", "Semiconductor Manufacturing", "It Services And It Consulting", "Staffing And Recruiting". For a comprehensive list of all industries utilizing Caffe2, please visit TheirStack.com.

What companies use Caffe2?

Some of the companies that use Caffe2 include Snap Inc., Meta, SambaNova Systems, Qualcomm, Qcom, RELX Group, Digital Diagnostics, Inc., Graphcore, Expression Networks, European Tech Recruit and many more. You can find a complete list of 166 companies that use Caffe2 on TheirStack.com.

In which countries Caffe2 is used the most?

Based on our data, Caffe2 is most popular in United States (72 companies), United Kingdom (13 companies), Canada (3 companies), Germany (3 companies), Singapore (3 companies), Spain (3 companies), India (2 companies), China (1 companies), Czech Republic (1 companies), France (1 companies). However, it is used by companies all over the world.

How to find companies that use Caffe2?

You can find companies using Caffe2 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.