AI inference, video analytics and real-time control are moving out of the cloud and onto the edge — where bandwidth, latency and data privacy decide the architecture. Gainstar mini PCs put server-class compute next to the cameras, machines and patients.
Application Cases
From radiology rooms to production floors.
Mobile Ultrasound & Bedside AI
A medical-imaging integrator mounted fanless K5 hosts on ultrasound carts. On-device enhancement models run beside the patient; DICOM data syncs to PACS only when the cart reaches Wi-Fi — no imaging downtime in dead zones.
- Battery-friendly platform runs off cart power
- Fanless design satisfies hospital noise and infection-control rules
- Local cache keeps studies available through network outages
Factory Vision Edge Nodes
An electronics plant distributed inference to edge boxes beside each line. Cameras connect directly to local nodes that score defects and push only results and key frames upstream, cutting bandwidth and removing cloud latency.
- Upstream video traffic reduced by 95%
- Detection cycle under 50ms per frame
- Containerized workloads updated over-the-air by one engineer
Application Cases
From radiology rooms to production floors.
Mobile Ultrasound & Bedside AI
A medical-imaging integrator mounted fanless K5 hosts on ultrasound carts. On-device enhancement models run beside the patient; DICOM data syncs to PACS only when the cart reaches Wi-Fi — no imaging downtime in dead zones.
- Battery-friendly platform runs off cart power
- Fanless design satisfies hospital noise and infection-control rules
- Local cache keeps studies available through network outages
Factory Vision Edge Nodes
An electronics plant distributed inference to edge boxes beside each line. Cameras connect directly to local nodes that score defects and push only results and key frames upstream, cutting bandwidth and removing cloud latency.
- Upstream video traffic reduced by 95%
- Detection cycle under 50ms per frame
- Containerized workloads updated over-the-air by one engineer
Application Cases
From radiology rooms to production floors.
Mobile Ultrasound & Bedside AI
A medical-imaging integrator mounted fanless K5 hosts on ultrasound carts. On-device enhancement models run beside the patient; DICOM data syncs to PACS only when the cart reaches Wi-Fi — no imaging downtime in dead zones.
- Battery-friendly platform runs off cart power
- Fanless design satisfies hospital noise and infection-control rules
- Local cache keeps studies available through network outages
Factory Vision Edge Nodes
An electronics plant distributed inference to edge boxes beside each line. Cameras connect directly to local nodes that score defects and push only results and key frames upstream, cutting bandwidth and removing cloud latency.
- Upstream video traffic reduced by 95%
- Detection cycle under 50ms per frame
- Containerized workloads updated over-the-air by one engineer