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Intel, in collaboration with Argonne National Laboratory and Hewlett Packard Entrerprise , has announced that the Aurora supercomputer has broken the exascale barrier at 1.012 exaflops and is the fastest AI system in the world dedicated to AI for open science – achieving 10.6 AI exaflops.
Designed as an AI-centric system from its inception, Aurora will allow researchers to harness generative AI models to accelerate scientific discovery. Significant progress has been made in Argonne’s early AI-driven research. Success stories include mapping the human brain’s 80-billion neurons, high-energy particle physics enhanced by deep learning, and drug design and discovery accelerated by machine learning, among others.
The Aurora supercomputer came in second on the high-performance LINPACK benchmark, but broke the exascale barrier at 1.012 exaflops utilizing 9 234 nodes – only 87% of the system. It also secured the third spot on the high-performance conjugate gradient benchmark at 5 612 teraflops per second with 39% of the machine.
At the heart of the Aurora supercomputer is the Intel Data Centre GPU Max Series. The Intel Xe GPU architecture is foundational to the Max Series, featuring specialised hardware like matrix and vector compute blocks optimised for both AI and HPC tasks.
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