The development of modern science and technology can be described by the rapid development of new technologies. With a blink of an eye, an application that can change the world may be invented. Of course, a company that is far ahead of the world may be instantly surpassed. In the age of change, time is the most important thing, that is, efficiency.
This is especially true for the AI industry. Our products, clothing, shelter, and transportation all involve AI, which will provide convenience for our future lives, an excellent idea needs to be implemented in the shortest time after it is conceived. Otherwise, it is likely to miss the opportunity and be put into use by other enterprises first. AI requires a lot of time and computing resources for deep learning model training. How can we save time and money in this aspect, many enterprises engaged in AI development are actively looking for ways.
Currently, there are not many enterprises engaged in providing underlying services for AI development. deep computing is one of them, its self-developed tesra supercomputing network solves a major problem for many small and medium-sized enterprises or individuals engaged in AI development.
First, the tesra supercomputing network can bring together idle GPUs from all over the world to form a huge supercomputer. When users use this platform, you can call several or even hundreds of GPUs at the same time to perform computation. The speed of model training can be increased by 10 times. Second, the price is convenient and user-friendly, and the pay-as-you-go billing method only needs to be paid based on the GPU actually used. The computing cost can be reduced by 70%. Third, you can dynamically expand the capacity according to the actual project needs during model training. Fourth, you can use the IPFs protocol to ensure data security.
The operation is also very convenient. You only need to upload the code and Dataset. After the training is completed, download the training results without building a complex environment.
The reduction in computing power allows enterprises to use more funds for R & D and promotion, while the improvement in development efficiency allows AI products to be available earlier and has been iterated faster, seize Market Opportunities!
Tesra supercomputing network Official Website: http://supernet.tesra.io/
No device is required for AI model training! Tesar super computing network makes AI model training more convenient!