The EUROPA consortium – Domyn, Fraunhofer IAIS and IIS – trained a mixture‑of‑experts model with about 1 trillion parameters on JUPITER, the EuroHPC exascale supercomputer at Forschungszentrum Jülich. By tuning PyTorch and TorchTitan they raised throughput from 90 to roughly 1,300 tokens per second per GPU across 384 GH200 GPUs (96 nodes). The work shows that public, sovereign compute can support AI at the same scale as private clusters.
Why it matters
It demonstrates that European public compute resources can run frontier‑scale AI, reducing reliance on private cloud rentals.
