Deci AI Documentation Hub
Welcome to the Deci AI documentation hub!
Here, you'll find everything you need to know about our cutting-edge artificial intelligence solutions, including SuperGradients, Infery, and our Deep Learning Platform. Whether you're a developer, researcher, or business leader, our products and services can help you accelerate your AI initiatives and stay ahead of the curve in this rapidly evolving field. In the following section, we'll provide in depth documentation for each of our offerings, highlighting their unique features and benefits. So, whether you're looking to optimize your deep learning models, run inference at lightning speed, or build and deploy AI applications at scale, you've come to the right place. Let's dive in!
Deci AI's SuperGradients is a powerful deep-learning library that is specifically focused on state-of-the-art models of computer vision. It provides users with a range of tools and resources to optimize their deep learning models, resulting in faster training times and better overall performance. SuperGradients is a popular choice among developers and researchers working on cutting-edge computer vision projects.
Infery, on the other hand, is an inference runtime engine that delivers blazing-fast performance with optimal hardware utilization. It is designed to be highly efficient and scalable, allowing users to run their deep learning models with minimal latency and maximum throughput. Infery is particularly well-suited for use in applications that require real-time decision-making, such as autonomous vehicles, robotics, and medical imaging.
Deci AI's deep learning platform offers an efficient API for running models across different target hardware and frameworks, as well as tools for visualizing deep learning model training. The API is easy to use and scalable, enabling users to deploy models quickly and efficiently. The visualization tools allow users to analyze key metrics and gain insights into model performance, identifying areas for improvement and fine-tuning for optimal results.