![Ray](https://cdn.freework.ai/cdn-cgi/image/width=636,quality=75,format=auto/cover_url/ray.io.png)
![left arrow](/cdn-cgi/image/width=34,quality=75,format=auto/images/arrow-left.png)
![right arrow](/cdn-cgi/image/width=34,quality=75,format=auto/images/arrow-right.png)
What is Ray?
Ray is an innovative online platform designed to enhance businesses' digital marketing campaigns. It empowers users to effortlessly create, manage, and monitor the performance of their campaigns. By utilizing Ray, businesses can swiftly develop campaigns directly from their existing websites and gain valuable insights through real-time analytics. This robust platform offers a wide range of tools, including user-friendly drag-and-drop campaign builders and advanced segmentation and automation options, to help optimize campaigns. With its intuitive interface and detailed reporting, Ray simplifies campaign management, allowing businesses to maximize their success. Additionally, Ray provides an extensive library of resources, such as educational articles, webinars, and tutorials, to assist users in mastering the platform and achieving optimal results. By leveraging Ray, businesses can elevate their digital marketing efforts and benefit from a comprehensive solution tailored to their specific needs.
Information
- Price
- Contact for Pricing
![](/cdn-cgi/image/width=312,quality=75,format=auto/images/logo-mark.png)
Freework.ai Spotlight
Display Your Achievement: Get Our Custom-Made Badge to Highlight Your Success on Your Website and Attract More Visitors to Your Solution.
Website traffic
- Monthly visits143.75K
- Avg visit duration00:05:29
- Bounce rate49.01%
- Unique users--
- Total pages views538.69K
Access Top 5 countries
Traffic source
Ray FQA
- What is Ray used for?
- What are the libraries integrated with Ray?
- How can I get started with Ray?
- Where can I find use cases for Ray?
- Where can I find more resources and support for Ray?
Ray Use Cases
Accelerate your PyTorch and Tensorflow workload with a more resource-efficient and flexible distributed execution framework powered by Ray.
Accelerate your hyperparameter search workloads with Ray Tune. Find the best model and reduce training costs by using the latest optimization algorithms.
Deploy your machine learning models at scale with Ray Serve, a Python-first and framework agnostic model serving framework.
Scale reinforcement learning (RL) with RLlib, a framework-agnostic RL library that ships with 30+ cutting-edge RL algorithms including A3C, DQN, and PPO.
Easily build out scalable, distributed systems in Python with simple and composable primitives in Ray Core.
Scale data loading, writing, conversions, and transformations in Python with Ray Datasets.