Exascale machines, accelerator roadmaps, and the infrastructure behind every large-scale workload.
Bull's €387.8 million LUMI-AI contract names AMD MI430X and EPYC hardware but gives no accelerator count or exaflops rating. CSC told SCN the count waits on AMD's final MI430X specifications.
ORNL's first Genesis Mission supercomputer misses the top ten even at perfect Linpack efficiency. No US system has published the FP64 to challenge China's LineShine.
MHPCC cut Makau's ribbon in August, months after the machine began carrying pioneer workloads. A system 13 times its size arrives at the same center this year.
Michigan law gives the university broad control over its land, but utility service, environmental permits, and political challenges remain unresolved.
A month after launch, 80% of jobs on Schrödinger's internal supercomputer arrive through Bunsen. Schrödinger expects customer demand to follow.
NOAA will begin moving GFS and GEFS to Google Cloud in early 2027. H4D has scaling data, but no cited result shows a full operational cycle meeting NOAA's production window.
The first AmSC funding call centers on integration, even as Genesis expands DOE’s AI compute footprint.
ETH Zurich’s year-long transfer was not a model launch. It was a decision to keep a continuously updated Earth-observation archive close to Swiss compute, and less dependent on upstream US data services.
FDA is expanding non-animal methods while ARPA-H funds human drug-safety models. Public materials omit runtime, hardware, and deployment cost.
Mission and its AI framing predate Genesis; its public requirements remain centered on stockpile simulation and application performance.
Simulation still fills the world's research supercomputers. Funding and vendor roadmaps have tilted to AI, and some practitioners feel pressure to pitch their machines that way.
