Singapore chip startup Symatics releases MPU, aimed at reducing inference latency

According to Tech in Asia, the Singapore-based semiconductor startup Symatics released the Morphic Processing Unit (MPU) architecture at the 2026 Business and Charity Forum, aiming to improve AI response speed by optimizing data organization and processing methods.

Symatics stated that the architecture employs row-column parallel processing and compiler planning execution mechanisms to reduce data transfer between memory and computing units, primarily targeting interactive AI and inference tasks. The company plans to collaborate with Singapore's research institutions and industry partners through an open architecture and licensing model. Currently, the MPU is still in the R&D stage, with technical validation work ongoing, and no progress has been disclosed regarding financing, prototype chips, or tape-out.