{"@context":"https://schema.org","@graph":[{"@type":"Service","name":"GPU Cluster for HPC","description":"Multi-node GPU cluster with NVIDIA B200, NVIDIA B300 or AMD MI350X and 400/800G RoCEv2 fabric for training, HPC and simulation - in sovereign EU data centers.","provider":{"@type":"Organization","name":"Yorizon","url":"https://yorizon.com"},"areaServed":{"@type":"Place","name":"Europe"},"serviceType":"GPU HPC Service","category":"GPU","url":"https://yorizon.com/products/gpu-cluster-hpc"},{"@type":"FAQPage","mainEntity":[{"@type":"Question","name":"Which GPUs are used?","acceptedAnswer":{"@type":"Answer","text":"NVIDIA B200, NVIDIA B300 (Blackwell) or AMD MI350X. Per node: 8 GPUs, 128 cores, 2,304 GB RAM and 30.4 TB local NVMe."}},{"@type":"Question","name":"How does the cluster networking work?","acceptedAnswer":{"@type":"Answer","text":"400/800G RoCEv2 fabric based on SONiC Ethernet. This allows multi-node training and MPI workloads to reach InfiniBand-level performance without proprietary lock-in."}},{"@type":"Question","name":"Which software is preinstalled?","acceptedAnswer":{"@type":"Answer","text":"NVIDIA AI Enterprise (NVAIE) as the standard license-included option. Optional BYOL after review. MLOps stacks such as Kubeflow, MLflow and Ray can be connected."}},{"@type":"Question","name":"How is GPU performance ensured?","acceptedAnswer":{"@type":"Answer","text":"Direct liquid cooling at component level. Nodes are assigned exclusively to a tenant via OpenStack Host Aggregates - no shared load."}},{"@type":"Question","name":"Which workloads are typical?","acceptedAnswer":{"@type":"Answer","text":"Foundation model training, fine-tuning, HPC simulation (CFD, FEM), vision AI, genomics, climate modeling. Suitable for research, industry and medtech."}}]}]}