Japan doubles down on US Genesis AI supercomputing effort
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Japan doubles down on US Genesis AI supercomputing effort

Regulation Reporter
5 min read

RIKEN, Fujitsu, Argonne National Lab, and Nvidia partner to build next-gen AI and HPC infrastructure aligned with Trump's Genesis Mission.

Japan's RIKEN scientific research institute and Fujitsu are working with America's Argonne National Laboratory (ANL) and Nvidia to build and operate next-gen compute infrastructure for AI and high-performance computing (HPC), in line with President Trump's Genesis Mission.

RIKEN says the four organizations have agreed a memorandum of understanding (MoU) to develop system software and applications for science and engineering purposes, and promote the use of AI for scientific research.

Areas where the group is expected to cooperate include future computing architectures, where they'll jointly define and prototype next-gen tech for typical HPC workloads such as modeling and simulation, but also the integration of AI into these workflows.

RIKEN claims the participants hope to develop a shared software ecosystem, in the form of an open and interoperable software stack to support AI-enabled scientific discoveries. In addition, the organizations will team up to develop autonomous laboratory workflows to advance the integration of AI and physical science, as well as the convergence of quantum computing and supercomputing.

"RIKEN will lead global efforts in advancing sophisticated use of AI technologies for scientific research through this four-party agreement within the framework of Japan-US cooperation aligned with the US Department of Energy's (DOE) Genesis Mission," said the research institute's President Makoto Gonokami.

Unveiled last year, Genesis was pitched by the Trump administration as a national effort to develop and use AI for scientific discoveries. So it seems Tokyo is not too worried about aligning itself with Washington on science and technology, while governments and businesses in Europe are growing increasingly concerned about their own reliance on US tech giants for cloud services and other areas of compute.

"This collaboration represents a pivotal step forward in harnessing the transformative potential of AI and high-performance computing to address pressing scientific challenges in energy, national security, and fundamental research," said Argonne's Laboratory Director Paul Kearns.

This isn't the first MoU between RIKEN and ANL. The two research bodies signed another on AI for scientific research in 2024.

RIKEN is already working with Fujitsu and Nvidia on the successor to Japan's Fugaku supercomputer, formerly the most powerful computer in the world until the introduction of the first exascale systems. Codenamed "FugakuNEXT," this will be another system built with processors based on Arm cores, with Fujitsu winning the contract to develop it last year. Soon after, the Japanese tech corporation signed a deal with Nvidia to supply GPU accelerators and help design the hardware to incorporate them into the supercomputer.

This collaboration represents a significant escalation in international cooperation on AI infrastructure, particularly as geopolitical tensions continue to shape technology development. The partnership brings together some of the world's leading entities in supercomputing and AI, creating a formidable alliance that could accelerate breakthroughs in scientific computing.

The timing is particularly noteworthy given the current global landscape. While Europe grapples with concerns about technological sovereignty and dependence on US technology providers, Japan appears to be doubling down on its partnership with American institutions. This divergence in approach highlights the complex balancing act that nations face as they navigate the rapidly evolving AI landscape.

From a technical perspective, the collaboration promises to push the boundaries of what's possible in high-performance computing. By combining RIKEN's expertise in supercomputing with Argonne's scientific research capabilities, Fujitsu's hardware development prowess, and Nvidia's AI acceleration technology, the partnership is well-positioned to tackle some of the most challenging computational problems in science and engineering.

The focus on developing a shared software ecosystem is particularly significant. As AI and HPC workloads become increasingly complex, the need for interoperable software stacks that can support AI-enabled scientific discoveries becomes more critical. This collaborative approach to software development could help establish standards that benefit the broader scientific community.

The integration of quantum computing with supercomputing represents another frontier that this partnership aims to explore. As quantum computers continue to advance, finding ways to effectively combine their capabilities with classical supercomputers could unlock new possibilities in scientific research and discovery.

For the scientific community, this collaboration could accelerate progress in fields ranging from climate modeling and drug discovery to materials science and fundamental physics. The combination of massive computational power with sophisticated AI algorithms has the potential to transform how scientific research is conducted.

However, the partnership also raises questions about the concentration of technological power and the implications for global scientific collaboration. As major computing resources become increasingly tied to specific geopolitical alliances, it may become more challenging for researchers in other regions to access cutting-edge computational capabilities.

The success of this collaboration could have ripple effects throughout the global technology ecosystem. If the partnership achieves its ambitious goals, it may prompt other nations and organizations to form similar alliances, potentially reshaping the landscape of international scientific cooperation in the AI era.

As the Genesis Mission continues to unfold, this partnership between RIKEN, Argonne, Fujitsu, and Nvidia will be closely watched by the global scientific community. The outcomes of this collaboration could influence not only the future of supercomputing and AI but also the broader trajectory of international scientific cooperation in an increasingly complex geopolitical environment.

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The collaboration builds on existing partnerships, with RIKEN and ANL having signed another MoU on AI for scientific research in 2024. This continuity suggests a long-term strategic alignment between the Japanese and American research institutions, which could prove crucial as both nations seek to maintain their competitive edge in the rapidly evolving field of AI and high-performance computing.

For Fujitsu, this partnership represents another significant win in its efforts to establish itself as a leader in next-generation computing. The company's involvement in both the FugakuNEXT project and this new collaboration with Argonne and Nvidia positions it at the forefront of supercomputing innovation. The integration of Nvidia's GPU technology into these systems highlights the growing importance of heterogeneous computing architectures in achieving the performance required for advanced AI and scientific workloads.

As this partnership moves forward, the global scientific community will be watching closely to see what breakthroughs emerge from this powerful alliance. The combination of resources, expertise, and strategic alignment between these four organizations creates a formidable force in the pursuit of scientific discovery through advanced computing and AI.

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