Intel’s Aurora Breaks Records: Becomes Fastest AI System Through Exascale Achievement
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Intel, in collaboration with Argonne National Laboratory and Hewlett Packard Enterprise (HPE), has revealed that its Aurora supercomputer has exceeded the exascale computing threshold reaching speeds of 1.012 exaflops to become the fastest AI-focused system.
“The Aurora supercomputer surpassing exascale will allow it to pave the road to tomorrow’s discoveries,” said Ogi Brkic, Intel’s VP and GM of Data Centre AI Solutions. “From understanding climate patterns to unravelling the mysteries of the universe, supercomputers serve as a compass guiding us toward solving truly difficult scientific challenges that may improve humanity.”
Aurora has not only excelled in speed but also in innovation and utility. Designed from the outset as an AI-centric supercomputer, Aurora enables researchers to leverage generative AI models, significantly accelerating scientific discovery.
Significant achievements have been made using Aurora, including the mapping of the 80 billion neurons in the human brain, the enhancement of high-energy particle physics through deep learning, and the quickening of drug design and discovery via machine learning.
The heart of Aurora is made up of the Intel Data Center GPU Max Series, constructed around the pioneering Intel Xe GPU architecture. It’s fine-tuned for both Artificial Intelligence and High-Performance Computing tasks. This technological base allows for parallel processing capabilities, which is vital for managing complex AI neural network calculations.
The information disclosed about the supercomputer emphasizes its grandiose size. It comprises of 166 racks, 10,624 compute blades, 21,248 Intel Xeon CPU Max Series processors, and 63,744 Intel Data Center GPU Max Series units, making it the most extensive GPU cluster across the globe.
Coupled with the hardware, Intel’s collection of software tools, which includes the Intel® oneAPI DPC++/C++ Compiler and various performance libraries, enhances developer flexibility and system scalability.
Intel is also expanding its Tiber Developer Cloud, incorporating new state-of-the-art hardware and enhanced service capabilities to support the evaluation, innovation, and optimisation of AI models and workloads on a large scale.
Looking forward, the deployment of new supercomputers integrated with Intel technologies is expected to transform various scientific fields. Systems like CMCC’s Cassandra will advance climate change modelling, while ENEA’s CRESCO 8 supports breakthroughs in fusion energy, among others, underscoring Intel’s dedication to advancing HPC and AI into new realms of discovery and innovation.
(Image Credit: Intel)
See also: Chuck Ros, SoftServe: Delivering transformative AI solutions responsibly
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Tags: ai, artificial intelligence, aurora, exaflop, exascale, intel
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