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Georgia Tech is making strides in artificial intelligence and high-performance computing with the development of a supercomputer named Nexus, backed by a $20 million investment from the National Science Foundation (NSF). The supercomputer is expected to be operational by spring 2026.
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Georgia Tech also houses the powerful PACE Hive Gateway supercomputer. (Georgia Tech)
Nexus supercomputer delivers AI speed and power
This system is incredibly fast, with Nexus expected to achieve over 400 petaflops of performance, enabling it to perform 400 quadrillion operations per second. This level of speed will facilitate tackling complex problems in various fields such as health, energy, robotics, climate, and more, at an accelerated pace.
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AI architecture drives Nexus from the ground up
Nexus is not just another general-purpose machine with AI capabilities added as an afterthought. It has been specifically designed from the ground up to cater to artificial intelligence, machine learning, and large-scale data science, in addition to traditional high-performance computing requirements.
The system will boast 330 terabytes of memory and 10 petabytes of flash storage, providing the necessary infrastructure for training large AI models, running complex simulations, and managing massive datasets that do not fit on standard systems.
Speed optimization is a key focus, ensuring seamless data movement between components without bottlenecks, allowing researchers to maximize their workflows without any hindrances.
This illustration symbolizes the high-speed data connections and AI-driven architecture at the core of the Nexus supercomputer. (Georgia Tech)
Nexus supercomputer combines speed with usability
Unlike most supercomputers that prioritize raw performance, Nexus aims for a balanced approach by focusing on both power and user-friendliness. With intuitive interfaces built-in, scientists do not need to be experts in low-level system operations to successfully run complex projects.
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Upon launch, Nexus will support various workflows including AI, data science, simulations, and scientific services, fostering faster iteration, smoother collaboration, and reduced technical barriers across different disciplines.
To promote campus innovation and national impact, Georgia Tech will reserve 10% of the system for on-campus use, while the NSF will oversee broader national access, ensuring that Nexus contributes to discoveries at both local and national levels.
A photo of the Georgia Tech campus (Georgia Tech)
What this means for you
Even if you are not directly involved in research, the advancements made possible by Nexus can impact your life. From drug discovery to improving weather predictions, the breakthroughs powered by Nexus have the potential to benefit various aspects of society.
For researchers, developers, and engineers, Nexus presents a game-changing opportunity by providing access to top-tier AI infrastructure without the need for a large lab. Whether you are working on protein folding, algorithm training, or weather simulations, Nexus offers the tools to enhance your work efficiently.
This initiative is not just about a single machine, but about fostering innovation and collaboration. By removing infrastructure limitations, researchers can conduct more experiments, ask bigger questions, and share ideas across disciplines, ultimately benefitting everyone.
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Kurt’s key takeaways
Looking ahead, Nexus represents a significant advancement in scientific research, while Georgia Tech’s inclusive approach opens up opportunities for accelerated discoveries and groundbreaking innovations. By providing advanced tools and access to a wider audience, the research community is poised to overcome challenges and drive progress across various fields.
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