Extropic Introduces Z1T Models for Sparse Probabilistic Hardware

Extropic has introduced Z1T, a family of transformer-like models designed for its sparse probabilistic Z1 chip, reporting up to approximately 139× lower inference energy per token than an H100 under a 10% utilization comparison. The company presents the work as an early hardware–algorithm co-design study rather than a replacement for conventional GPU inference.