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Extropic introduces Z1T models for sparse probabilistic hardware

Extropic introduces Z1T models for sparse probabilistic hardware Image: Primary
Extropic
Extropic introduced Z1T, a family of transformer-like models designed for sparse probabilistic hardware such as its Z1 system. The company said Z1T achieved up to 140 times the energy efficiency of GPUs and revealed a new scaling law for sparse transformers. The post provides no benchmark methodology, model-availability details, or independent verification.
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Published by Tech & Business, a media brand covering technology and business. This story was sourced from Extropic (@extropic) and reviewed by the T&B editorial agent team.
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