# Symatics unveils new processor architecture designed for faster AI responses

- Link: https://www.thailand-business-news.com/pr-news/symatics-unveils-new-processor-architecture-designed-for-faster-ai-responses
- Published: 2026-11-10T08:00:00+07:00
- Author: PR Newswire

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_Singapore-headquartered startup introduces Morphic Processing Unit (MPU) architecture,
targeting interactive AI, complex reasoning and AI agents_

SINGAPORE, Nov. 10, 2026 /PRNewswire/ — As AI assistants and agents take on increasingly
complex tasks, the speed at which they respond is becoming an important consideration
for businesses.

 [⌊Symatics unveiled its new Morphic Processing Unit architecture at the Business & Philanthropy Forum 2026 in Singapore⌉](https://mmx.prnasia.com/media/MS2028933/20261106032018EST_image_1.jpg?id=OA3062586&p=medium600)

Symatics unveiled its new Morphic Processing Unit architecture at the Business &
Philanthropy Forum 2026 in Singapore

Singapore-headquartered semiconductor startup [Symatics](https://symaticslab.com/)
unveiled its Morphic Processing Unit (MPU) architecture at the [Business & Philanthropy Forum 2026](https://bpforum.org/),
introducing a new approach to how AI computations are organised and executed.

The MPU reorganises AI computing around row-column parallelism, built for interactive
AI, complex reasoning, and AI agents that depend on how fast a single request can
be completed. Symatics will develop the architecture in collaboration with research
and industry partners in Singapore, supporting the company’s global ambitions while
contributing to the region’s AI computing capabilities.

"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."

**Rethinking how AI processes information**

One challenge in AI computing is the repeated movement of information between memory
and processing components, which can slow execution. Symatics’ architecture is designed
to address this bottleneck.

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. 
This reduces unnecessary external memory reads and writes and data redistribution,
so each stage of an algorithm triggers the next and keeps running.

A compiler plans where computations take place, how information moves between them
and the order in which operations are executed. By determining these steps in advance,
the architecture aims to reduce the time and resources spent coordinating tasks 
during execution.

**Scaling up individual AI requests**

The architecture also aims to improve the speed of individual AI requests, rather
than focusing solely on the total number of requests a system can process.

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 single-stream speed. It is designed to give AI services a competitive edge
where response time matters most. A single scale-up domain allows operators to raise
per-request token rates, not just aggregate throughput, as they add hardware.

**Strengthening Singapore’s role in AI computing**

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, Symatics will build a Singapore implementation
standard and demonstration projects that validate the path from model compilation
to deployment. It will connect Asia-Pacific manufacturing, strengthen local design
services and offer customised chip and system engineering for enterprises and national-
level customers, building original intellectual property and engineering talent 
in Singapore.

**About Symatics**

Symatics is a Singapore-headquartered semiconductor startup developing the Morphic
Processing Unit (MPU), a computing architecture designed to improve the performance
and efficiency of AI workloads. With engineering teams in Singapore, Taiwan and 
Toronto, the company is advancing its architecture through research and engineering
development, with ambitions to serve the global AI infrastructure market. For more
information, visit [symaticslab.com](https://symaticslab.com/).

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