Cloud computing involves using remote and online computer servers to manage, store or process large amounts of data. This practice, which has become widely us within companies, offers many advantages for training and improving artificial intelligence models. In particular, it allows massive data to be stor and manag by providing computing resources available “on demand” depending on the AI model to be deploy.
This availability of computing resources on demand constitutes one of the main strengths of cloud computing, because it is essential for processing large quantities of data that are necessary for artificial intelligence, in particular for training machine learning and deep learning models, explains Kamal Hennou, director of ESGI and the Systems, Networks and Cloud Computing specialization .
By using cloud computing, companies have access to scalable computing power, to gain flexibility while remaining extensible and scalable. The objective: to be able to adjust the essential hardware resources according to the fluctuating nes of artificial intelligence models, increase and optimize their performance. Thanks to cloud computing, these organizations can offer solutions to deploy AI models in distribut (or parallel) mode.
An application like Chat GPT
which is made up of millions of parameters, will run on several servers. The challenge is to improve the response time, but also the efficiency of processing and prictions. The use of cloud computing services will iran whatsapp number data simplify access to large volumes of computing resources in CPU ( Central Processing Unit ), and especially in graphics processors (GPU, for Graphics Processing Unit ), which this type of model will ne to operate at its full power.
Other advantages of cloud computing include:
continuous integration and deployment (CI/CD ) to facilitate
updates and improvements to AI models
the development, deployment and management of artificial intelligence applications , while rucing learning and supervision time. ” Cloud computing makes it possible to free up phenomenal computing power at a given moment. In concrete terms, what could be done in the space of 6 months can now be done in one minute ,” the director emphasizes.
the use of services compatible with multi-platform deployment , for all types. Of base on your analytics environments and devices (Linux, Windows, Mac, connect objects. Autonomous cars, etc.), and the connection to other cloud services.
features to secure artificial cmo email list intelligence models with encryption protections, access management, threat detectio.