How Vectronis AI achieves sub-millisecond continuous inference on multi-terabyte orbital sensor streams while strictly maintaining zero client telemetry retention.
Raw 1024-band imagery generates up to 2.4 Gbps per optical channel. Vectronis edge weights are quantized to FP4/FP8 and run directly on space-grade AMD Versal AI Edge FPGAs and Jetson AGX Orin clusters, performing real-time background subtraction and discarding empty cloud cover before downlink.
Unlike RGB convolutional networks or isolated discrete bands, the VX-1024 foundation model treats the electromagnetic spectrum as a continuous Riemannian manifold, allowing zero-shot chemical identification and physical material property estimation.
Enterprise and defense customers cannot risk proprietary coordinate telemetry leaking. Vectronis operates inside hardware-isolated AWS Nitro Enclaves and air-gapped sovereign data centers. Telemetry tensors are processed strictly in volatile memory and zeroed immediately after vector generation.