Nvidia and Microsoft will jointly create a powerful supercomputer based on AI

Last week, it became known that the two American giants, NVIDIA and Microsoft, began a multi-year collaboration, within the framework of which the companies will create an AI-based supercomputer that can withstand the heavy workload required for learning and scaling artificial intelligence. As it turns out, within the framework of the partnership, Nvidia will use Microsoft's scalable virtual tools, with the help of which it will develop artificial intelligence models.

The supercomputer created by the technological giants will be built on the cloud infrastructure of Microsoft Azure and will be equipped with powerful microchips produced by Nvidia, H100 and A100, as well as the Quantum-2 InfiniBand network platform. A powerful supercomputer created by combining Microsoft Azure and Nvidia graphics processors will accelerate the learning, scaling and deployment of artificial intelligence. Additionally, the companies will jointly develop DeepSpeed – Microsoft's deep learning optimization software.

"Artificial intelligence technology and the process of its application by the industry are significantly accelerated. The breakthroughs created by the use of base models have sparked a new wave of research and development, resulting in new startups and innovative ways to use these applications," Nvidia's vice president of corporate direction, Manuvir Das, said in a statement. "Through our collaboration with Microsoft, we will offer researchers and companies the next-generation AI infrastructure and software that will enable them to capitalize on the transformative power of AI."

The latest generation of supercomputers will also play an important role in the development of generative artificial intelligence - obviously, we are talking about models like DALL-E and Stable Diffusion, which use self-developing algorithms for different types of content, including text, code, digital images, video and audio production. Demand for these types of AI models has grown significantly in recent years, so it's time for demand to catch up with supply.