{"@context":"https://schema.org","@graph":[{"@type":"Service","name":"Dedicated GPUs for AI","description":"Whole-machine GPU nodes with 8x NVIDIA B200, 8x NVIDIA B300 or 8x AMD MI350X exclusively for one customer - Direct Liquid Cooling, NVAIE included, EU data residency.","provider":{"@type":"Organization","name":"Yorizon","url":"https://yorizon.com"},"areaServed":{"@type":"Place","name":"Europe"},"serviceType":"Dedicated GPU Service","category":"AI Compute","url":"https://yorizon.com/products/dedizierte-gpus-ai"},{"@type":"FAQPage","mainEntity":[{"@type":"Question","name":"What does Whole-Machine mean?","acceptedAnswer":{"@type":"Answer","text":"You book an entire GPU node exclusively. The entire node (8 GPUs, 128 cores, 2,304 GB RAM, 30.4 TB NVMe) is strictly assigned to your tenant via Host Aggregates."}},{"@type":"Question","name":"What GPU options are available?","acceptedAnswer":{"@type":"Answer","text":"GPU Power Bundle with 8x NVIDIA B200, 8x NVIDIA B300 (Blackwell) or 8x AMD MI350X. Both are suitable for foundation model training and inference — the choice depends on workload profile and software stack preference (CUDA vs. ROCm)."}},{"@type":"Question","name":"Is NVIDIA AI Enterprise included?","acceptedAnswer":{"@type":"Answer","text":"Yes, License Included by default - no separate NVAIE license required. BYOL (Bring Your Own License) is possible after review."}},{"@type":"Question","name":"How can I scale up to a cluster?","acceptedAnswer":{"@type":"Answer","text":"Scaling to a multi-node HPC cluster via the RoCEv2 fabric is seamless, without any hardware or stack migration. Same platform, more nodes."}},{"@type":"Question","name":"Which workloads are suitable?","acceptedAnswer":{"@type":"Answer","text":"Heavy training (foundation models), fine-tuning, sensitive inference, AI quality control. Especially for regulated industries with GDPR Art. 9 data or workloads involving classified information."}}]}]}