DE-FOA-0002999: Unlocking Lasting Transformative Resiliency Advances by Faster Actuation of Power Semiconductor Technologies (ULTRAFAST) (SBIR/STTR)

The DOE ASCR Leadership Computing Challenge (ALCC) provides allocations of computing time on the nation's most powerful supercomputers for high-risk, high-payoff scientific campaigns aligned with DOE priorities. For the 2026-2027 cycle, available resources include 20 million node-hours on Frontier (exascale, Oak Ridge), 16 million node-hours on Aurora (exascale, Argonne), 1 million node-hours on Polaris (Argonne), and 3.5 million combined CPU and GPU node-hours on Perlmutter (NERSC, with 7,000+ NVIDIA A100 GPUs). ALCC projects span modeling, simulation, artificial intelligence, and data analysis. New for 2026-2027: multi-year proposals of up to three years are accepted, and the process has been simplified to a single proposal without a pre-proposal stage. The estimated commercial value of allocations ranges from $500,000 to $10 million or more per project depending on scale. The 2026-2027 application deadline was January 26, 2026; the program cycles annually with the next call expected November 2026.

NVIDIA Graduate Fellowship Program is a grant from NVIDIA providing up to $60,000 per award to PhD students conducting research that advances accelerated computing and its applications. Now in its 25th year, the program invites nominations from doctoral students pushing the boundaries of artificial intelligence, robotics, autonomous vehicles, and related fields. Recipients receive not only research funding but also access to NVIDIA technology, products, and engineering expertise, along with a mandatory in-person summer internship. Students are nominated by their faculty advisors and selected based on academic achievement and research area alignment.