Platform Level AI Micro Data Center for Hospitals
Sovereign AI Infrastructure for Clinical Care, Imaging and Hospital Operations
Hospitals Are Running AI on Infrastructure Not Built for It
Data sent to cloud inference
HIPAA/GDPR compliance exposure and data sovereignty violations.
Latency-sensitive diagnostics
Performance limitations for large CT/MRI datasets and real-time diagnosis.
AI SaaS GPU pricing
Escalating, unpredictable recurring OpEx and chronic budget instability.
Fragmented AI tools
No unified AI infrastructure layer — each department running isolated systems.
Core Compute Platform
| Component | Specification | Function |
|---|---|---|
| Primary AI Cluster | 1× High-Density Server | Primary AI inference and model fine-tuning for mission-critical workloads. |
| GPU Accelerators | 🔒 Confidential (8 GPUs primary) | Large shared memory pool for multimodal LLM and imaging applications. |
| GPU VRAM per Unit | 🔒 Confidential | Supports 70B+ parameter models and high-resolution imaging batch processing. |
| Total GPU VRAM | 1.63 TB (system-wide) | Aggregate capacity across all nodes for concurrent inference and training. |
| Secondary AI Cluster | 3× GPU Nodes | Distributed parallel inference, smaller tasks, and system redundancy. |
| Total GPU Count | 17 GPUs | Combined high-throughput inference and simultaneous research/training. |
| Cluster Networking | 200Gb cluster fabric | Ultra-fast internal communication for distributed model processing. |
| Storage | NVMe High-Speed Pool | Low-latency access for EMR/PACS integration and model checkpoints. |
Native System Integrations
Four Agents. One Platform.
All AI processing executes inside the hospital network — guaranteeing data sovereignty and sub-10ms latency.
Radiology & Imaging Co-Pilot
CT/MRI anomaly detection, multimodal analysis combining imaging and clinical data, and custom fine-tuning on hospital-specific datasets.
Clinical Documentation Agent
Voice-to-SOAP note conversion, automated coding, discharge summary drafting — dramatically reducing physician administrative burden.
Clinical Decision Support
Real-time risk assessment, drug interaction flags, and diagnostic suggestions based on patient history and live lab results.
Operations Optimization Agent
Predictive modeling for bed allocation, OR scheduling, patient flow management, and dynamic staffing recommendations.
Enterprise-Grade Capacity
On-Premise vs. Cloud
Built for HIPAA, GDPR, and Beyond
Data Privacy
No data exfiltration, zero-trust segmentation, encrypted storage, and in-memory processing.
Cyber Security
Strict Role-Based Access Control (RBAC), isolated inference subnet, and immutable event records.
Clinical Oversight
Required Human-in-the-Loop escalation, configurable anomaly thresholds, and full audit logging.
Hospital AI Digital Twin & AI Operations
C-suite level consultation through design, deployment, integration, and ongoing operations — including the AKULAR digital twin for complete real-time visibility.
Access to Financing
75% CAPEX financing available subject to approval. Savings over 5 years are typically double equivalent cloud costs.
Operational Digital Twin
Real-time cluster health monitoring, GPU/thermal/power telemetry, maintenance alerts, and workload management tools.
Mobilization & Installation
5-day installation, 2 technicians × 6 days labor, engineering oversight including site scan and remote validation.
Digital Twin & Monitoring
Digital twin deployment, telemetry mapping, 36-month monitoring license, and 36-month remote support.
Hardware Support
Next Business Day on-site response. GPU/CPU/RAM/SSD/NIC replacement, firmware review, quarterly preventive maintenance. Parts stocked for 48-hour repair.
Service Level Commitments
From Isolated AI Tools to a Unified AI Operating Platform
Ready to Deploy Sovereign AI at Your Hospital?
We scope, design, finance, and operate — you get enterprise-grade AI on your premises, on your terms.