Etched.ai develops frontier inference clusters by co-designing microchips, rack architectures, and system software to handle prefill and decode execution for large-scale computing tasks. Its products feature a low-voltage inference architecture that runs mathematical blocks at reduced voltages to prevent thermal throttling during dense matrix operations. Additionally, the company implements a cluster-scale shared memory network using a proprietary high-bandwidth interconnect to reduce data transfer latency across processor nodes.