Gradient is used by individual hobbyists and students, researchers, and professionals across teams of all sizes. The platform is designed for novice and advanced data scientists and ML engineers. It is not well suited for "citizen data scientists" or people without any coding background or experience with ML frameworks e.g. TensorFlow, PyTorch, etc.
As an end-to-end platform, Gradient is suited for the early research and data exploration phases all the way through training at scale and taking models into production.
See more info about pricing here.
The primary difference is where workloads run and the degree of control you have over the environment. You can learn more about these differences here.
Paperspace is the company behind Gradient. Paperspace is a cloud computing platform designed for developing compute-intensive applications. Gradient is one of our flagship products. Check out our products overview here.