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Sakana AI gains unprecedented access to a supercomputing cluster, positioning it at the forefront of foundation model development in Japan alongside six other elite institutions.
Sakana AI, a leading research institution in Japan, has been selected by the Japanese government to receive a supercomputing grant as part of the Generative AI Accelerator Challenge (GENIAC). This initiative, organized by NEDO (New Energy and Industrial Technology Development Organization) under METI (Ministry of Economy, Trade and Industry), aims to bolster Japan’s generative AI ecosystem by providing advanced computational resources.
Sakana AI is among the seven institutions chosen for this grant. The key technical changes include:
For practitioners, this grant means:

Sakana AI has been working on several exciting projects, but until now, they have faced computational limitations. The additional compute capacity from the grant will enable them to:
If you are interested in joining Sakana AI's mission to advance the field of generative AI, they have several career opportunities available. You can explore these roles and apply through their career page.
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Kai built ML infrastructure at a Bay Area startup before developing an obsession with transformer architectures and inference optimisation that eventually pulled him out of product work entirely. A stint at a compute research lab sharpened his instinct for what actually matters in a model release versus what is marketing. He writes from the inside — from the perspective of someone who has debugged the systems he is describing at three in the morning. He is allergic to hype and instinctively drawn to the unglamorous plumbing questions that everyone else skips over.
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