In an exciting announcement alongside the unveiling of the powerful Aurora Supercomputer, Intel has introduced Aurora genAI, a groundbreaking Generative AI Model specifically designed for scientific research. With an unprecedented parameter count of 1 trillion, the Aurora genAI model promises to revolutionize various scientific domains.
The Power of Aurora Supercomputer:
The Aurora genAI model will harness the immense capabilities of the Aurora supercomputer, boasting a staggering 2 exaflops of computing power. This state-of-the-art system will provide the necessary infrastructure to train and utilize the Aurora genAI model effectively.
Applications in Science:
The primary focus of the Aurora genAI model is to empower scientific advancements. By training on diverse sources such as general text, scientific texts, scientific data, and domain-specific codes, it aims to facilitate breakthroughs in various scientific disciplines.
- Systems Biology: The Aurora genAI model will aid in comprehending complex biological systems and their behavior, accelerating progress in understanding diseases and developing effective treatments.
- Cancer Research: By leveraging its generative capabilities, the model will expedite the identification of biological processes related to cancer and suggest potential targets for drug design, leading to more precise and efficient therapies.
- Climate Science: Climate scientists can benefit from the Aurora genAI model’s ability to analyze vast amounts of climate data, facilitating climate modeling, predicting future trends, and assisting in developing strategies to mitigate climate change.
- Cosmology: The model will contribute to advancements in cosmology by analyzing astronomical data, aiding in our understanding of the universe, dark matter, and the origins of celestial bodies.
- Polymer Chemistry and Materials Science: By generating innovative materials and optimizing their properties, the Aurora genAI model will enhance research in polymer chemistry and materials science, opening up possibilities for new applications and technologies.
Collaboration and Innovation:
The foundation of the Intel Aurora genAI model is built upon Megatron and DeepSpeed, two cutting-edge technologies. Moreover, Intel has collaborated with Argonne National Laboratory and HPE to create a series of generative AI models for the scientific research community.
With the inclusion of general text, code, scientific texts, and structured scientific data from various fields, these generative AI models will offer versatile and comprehensive support to researchers in biology, chemistry, materials science, physics, medicine, and other scientific disciplines.
Conclusion:
Intel’s announcement of the Aurora genAI model, with an astounding 1 trillion parameters, marks a significant milestone in the field of generative AI. By leveraging the power of the Aurora Supercomputer and collaborating with renowned institutions, Intel aims to empower the scientific community to push the boundaries of knowledge in diverse domains. The Aurora genAI model has the potential to catalyze groundbreaking discoveries, fuel innovation, and accelerate scientific progress, paving the way for a future of exciting advancements in science and technology.
