2023-05-22 15:25:00
Generative artificial intelligence is becoming more and more popular with solutions like ChatGPT. Now Intel has launched its own model called Aurora genAI that will be destined to scientific research in several areas. The new model was announced during ISC23 and has several training sessions to work on texts of various types, scientific data and much more.
Aurora genAI was created in partnership with Argonne National Laboratory and HPE. She will work with the new Aurora Supercomputer, which has more than two exaflops of performance, allowing it to handle up to 1 trillion parameters to generate results.
Rick Steves, associate director of the Argonne laboratory, commented on the news by saying:
The project aims to harness the full potential of the Aurora supercomputer to produce a resource that can be used for downstream science in Department of Energy labs and in collaboration with others.
Aurora system specifications include:
- HPE Cray EX Supercomputers;
- 63.744 GPUs;
- 21.248 CPUs;
- 1024 blocks of DAOS storage;
- HPE Slingshot High Performance Ethernet Network.
Initial testing indicates that the Aurora system can deliver twice the performance compared to AMD MI250 GPUs, 20% more efficiency in QMCPACK quantum mechanical applications over the H100 model with near-linear scalability with up to hundreds of modules.
The model can work with “general text, code, scientific texts and structured scientific data from biology, chemistry, materials science, physics, medicine and other sources”, because it is trained for this generatively. Intel gave some examples of applications for the model:
The resulting models (with up to 1 trillion parameters) will be used in a variety of scientific applications, from designing molecules and materials to synthesizing knowledge from millions of sources to suggest new and interesting experiments in systems biology, polymer chemistry and energy materials, climate science, and cosmology.
In addition, Aurora genAI will be able to accelerate research by identifying biological processes related to cancer and other diseases, using its generative potential to suggest targets and even the development of drugs.
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To ensure the project moves forward, Intel, HPE, Department of Energy Laboratories, international universities, NGOs and international partners such as RIKEN have created an international collaboration to bring it to the world’s largest laboratories. One is home to Petrobras’ “Dragão”, the largest supercomputer in Latin America located in Rio de Janeiro.
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