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LoadingSelf-hosted inference on hardware you own, in a datacenter or at the edge, so regulated data stays inside boundaries you control.
Some workloads should never touch a third party. When AI inference runs entirely on infrastructure you own, with a self-hosted model, your PHI and PII never traverse an external network and can never be ingested into another company’s training pipeline. That is a property of the architecture, not a policy promise.
We design these environments end to end. That covers the GPU servers and AI workstations, the edge nodes close to the point of care, the network segmentation and access controls around them, and the audit trail underneath. We stay vendor-agnostic and build on whatever is leading, because in AI that changes fast.
NVIDIA
Blackwell · RTX PRO · Jetson edge
AMD
Instinct · EPYC · Ryzen AI
Dell
PowerEdge · Pro Max
Training & fine-tuning
Inference & serving
RAG, retrieval & agents
Vector & data
MLOps & orchestration
Vision, imaging & speech
Tell us what has to stay in-house and we will design the on-premise stack around it.