This is Aurora GPT, the AI ​​focused on storing scientific knowledge with capacity for more than a trillion parameters

MADRID, Nov. 23 (Portaltic/EP) –

He Argonne National Laboratory (ANL) American is working together with Intel and HP in the creation of a generative Artificial Intelligence (AI) model, which they refer to as Aurora GPT, focused on storing scientific knowledge with more than a billion parameters.

The capabilities of supercomputers are currently used to solve major problems, however, the ANL aims to provide “new opportunities to advance science and engineering.”

For this, the American Argonne laboratory is working on the Aurora GPT AI trainingWith Intel and HP. This is an AI model that is being trained in the Aurora supercomputer -one of the teams with the most power currently- under the concept of store all possible scientific knowledge.

In turn, when the AI ​​is ready, will have a ‘chatbot’ interface in which the Researchers will be able to ask questions to facilitate access to knowledge in different areas, whether biology, physics or mathematics and engineering.

Specifically, as the ANL has detailed on its website, it will allow researchers run a greater diversity of workloads, including the machine learning and the data-intensive tasksas well as “traditional simulation and modeling campaigns.”

With this new project, it is also intended expand capabilities with exascale computing, that is, with the capacity to carry out a minimum of one exaflop operation per second. Exaflop operations have a performance to calculate at least one trillion floating point operations per second. In this way, research times can be accelerated.

This exascale power is powered by Intel, with a GPU architecture composed of six Intel Max Series GPU 128GB each. It also integrates two processors Intel Xeon CPU Max Series 64GB each.

At the moment Aurora GPT is in the early stages of developmentso, as they have explained, currently its capacity is limited to 256 nodeshowever, will expand to 10,000 nodes in the future of capacity available on the Aurora supercomputer.

With all this, the laboratory has stressed that Argonne developers continue working to carry out a wide range of activities to “prepare Aurora for science from day one.”

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