Application field
Research computing inside the hospital network and clinical AI assistants that keep patient data on site.
Hyperion X1440
A dense inference, RAG, CI and multi-service node where several independent GPU workloads must run concurrently.
One 4U node; 96 AMD EPYC cores; 768GB ECC DDR5; four NVIDIA RTX PRO 4000 24GB GPUs providing 96GB aggregate VRAM.
Hyperion X1160
A large-memory single-GPU platform for private LLM inference, retrieval-augmented generation, medical imaging and large scientific models.
One 4U node; 96 AMD EPYC cores; 768GB ECC DDR5; one NVIDIA RTX PRO 6000 96GB GPU; enterprise NVMe.
Hyperion X2260
A two-node multi-user AI workgroup for clinical research, production intelligence, training and resilient service placement.
Two 4U nodes; four NVIDIA RTX PRO 6000 96GB GPUs; 100GbE RDMA; shared protected storage; KVM and Kubernetes-ready infrastructure.
Technical resources
Product use brief
A two-node multi-user AI workgroup for clinical research, production intelligence, training and resilient service placement.
Application note
A shadow-mode-to-production architecture for DICOM routing, MONAI inference, clinical-format outputs, audit and rollback.
Product use brief
A dense inference, RAG, CI and multi-service node where several independent GPU workloads must run concurrently.
Product use brief
A large-memory single-GPU platform for private LLM inference, retrieval-augmented generation, medical imaging and large scientific models.
Technical sector guide
Research computing inside the hospital network and clinical AI assistants that keep patient data on site.
Workload review
Axiotech will translate code, data, software, service levels and site constraints into a validated system and formal quotation.