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Edge Compute Power Server · NUC Medical Host
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Edge Compute Power Server
NUC Medical Host

Lightweight departmental edge compute deployment solution

For departments with limited space and operations resources, the edge compute power server is deployed compactly on site, supports phased go-live and direct port-based expansion, reduces server-room retrofit and network changes, and simplifies the deployment and upkeep of intra-operative imaging workloads

Edge Compute Power Server · Local Departmental Deployment
01 · COMPACT Direct multi-unit links, compute power added on demand
02 · PHASED Compact footprint, lower retrofit barrier
03 · ON-SITE Phased elasticity, controlled initial investment

Data Compliance & Local Closed-Loop Deployment

Compliance is built into the local architecture — imaging and inference stay in-house, so data never leaves the hospital

Local data closed loop · Data never leaves the hospital
Local architecture enforces compliance and data sovereignty
In-hospital inference without cloud dependency
Data stays in-house, results retained in a closed loop

Local edge compute power supports real-time intra-operative spine care

Compliance is built into the local architecture — imaging and inference stay in-house, so data never leaves the hospital

Local inference avoids cloud latency
A dedicated host per model with isolated compute power for stable response
Multiple hosts split the work: imaging, inference, rendering and navigation
Local data storage supports post-operative QC review
Edge compute power server hardware detail: cooling grille and high-speed optical ports

Operating Room Applications & Multi-Host Collaboration

Across pre-op planning, intra-op support and post-op review, chained units generate surgical content in real time

Pre-op planning: departmental workstation and edge compute power server on site
Pre-op planning
Intra-op support: operating room navigation display and edge compute power server on site
Intra-op support
Post-op review: multi-screen workstation in the reading room with local storage
Post-op review
Multi-unit chaining · Distributed processing · Real-time generation of surgical content Node A Imaging report generation Node B Model inference Node C 3D rendering · Navigation High-speed optical port High-speed optical port Scale-out on demand

From a single pilot unit to hospital-wide coverage

Deploy by department and scenario: start with a single application, then expand — no one-off server-room or cluster build-out

Single-department pilot

Deploy the first unit in a selected department and validate the workflow with a single application

Workflow validation

Tune models and display settings against real pre-op and intra-op use cases

Phased expansion

Deploy in batches by department and scenario, progressively covering more consulting rooms and operating rooms

Multi-unit chaining

Scale out over direct optical links, sharing inference, rendering and report generation load

Stable operations

Simplified local operations; hardware reliably sustains evaluation peaks over long periods

0 on public network

Imaging and inference never travel over the public network; data stays in the hospital

1 unit to start

A single unit is enough to bring the first departmental application online

3 units chained

Report generation, model inference and 3D rendering work in parallel

4 layers of closed loop

A full-process local closed loop from data sovereignty to result retention

Share your department environment and imaging workflow to receive a tailored deployment plan

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