Singapore startup Symatics unveils Morphic Processing Unit architecture for faster AI responses

Singapore-headquartered semiconductor startup Symatics on Tuesday (10 November) unveiled a new processor architecture, the Morphic Processing Unit (MPU), at the Business & Philanthropy Forum 2026 in Singapore, targeting interactive AI, complex reasoning and AI agents where response speed matters.

Row-column parallelism to cut data movement

The MPU maps the parallel unfolding of a computation, and the dependencies between its steps, onto a row-column array, so data supply is matched precisely to where each calculation takes place. Intermediate results stay on the chip and are used immediately nearby, while computing state is retained and continuously updated, reducing unnecessary external memory reads and writes and data redistribution. A compiler plans in advance where computations take place, how information moves between them and the order in which operations are executed.

"As AI becomes more sophisticated, simply adding more computing power is not always the answer," said Mo Zining, Founder and CEO of Symatics. "We believe the next frontier of AI computing requires rethinking how information is processed and moved. With the MPU, our goal is to address these underlying inefficiencies and support a new generation of AI applications."

Faster single requests, not just total throughput

Rather than focusing only on the total number of requests a system can process, the MPU aims to improve the speed of individual AI requests. When a single stream is limited by bandwidth or compute resources, the MPU can spread the same request across more MPUs, expanding computing and data supply together to raise per-request token rates, not just aggregate throughput. Symatics says that gives AI services an edge where response time matters most.

Open architecture and a Singapore implementation standard

Under its open architecture, Symatics will support partners in customising chips and systems, and share reference designs and implementation experience to build an open ecosystem, followed by a configurable B2B infrastructure platform. With research and industry partners, the company will build a Singapore implementation standard and demonstration projects that validate the path from model compilation to deployment, connect Asia-Pacific manufacturing, strengthen local design services and offer customised chip and system engineering for enterprises and national-level customers.

Symatics has engineering teams in Singapore, Taiwan and Toronto. The company announced the architecture only, and has not disclosed chip specifications, pricing or availability dates.

Source: PRNewswire / Symatics, 10 November 2026.