Edge AI inference array
AntHub
For industrial vision and video analytics — deploy models and process input data on site.
Architecture overview
Product applications
The directions below come from product planning; supported models and performance ranges follow formal specifications and project test results.
On-site visual inference
For industrial image and video analytics, assess local inference against input scale and latency targets.
Model deployment & updates
Confirm the runtime environment and maintenance needs based on model type, precision and update frequency.
Edge node collaboration
Discuss single-node, cluster and cloud collaboration based on network, data retention and scale.
Product status
If you are already planning a selection, share your workload and deployment conditions and we will update you on the latest materials.
Prepare these details before contacting us
Source, count, resolution and retention requirements of image or video streams.
Model framework, precision, concurrency, latency and update frequency.
Network, power, site environment, administrative rights and fault handling requirements.
Product resources
The product line overview is available; the formal AntHub datasheet is not yet public.
Product matrix and solution overview, v0.1; downloadable once complete.
In preparationGet progress on materials and a project fit assessment.
Ask for product resources →Ask about AntHub
Share your business needs, deployment conditions and timeline so we can arrange the next technical step.