AI
Local AI where locality matters
CEAC is designed primarily for inference: running useful AI workloads closer to the people, organisations, devices and data that need them.
Local language AI
Chat, retrieval-augmented generation, document processing, embeddings and knowledge search.
Speech and vision
Speech recognition, text-to-speech, image analysis, CCTV and sensor inference.
Community services
Education, local organisations, community services and privacy-sensitive workloads.
Escalation
Workloads that exceed the local node can move across the CEAC network or to remote cloud and specialist compute.
The Generation-1 design uses four NVIDIA A10 accelerators, while the wider CEAC architecture is intended to support replaceable compute as accelerator technology changes.