MIPS launches three workload-native platforms for physical AI

Inference-native, event-native and safety-native platforms lower AI barriers

MIPS

By Robotics 24/7 Staff    September 7, 2026         

MIPS launches three workload-native platforms for physical AI

MIPS

MIPS launched three workload-native platforms for physical AI.

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MIPS launches three workload-native platforms for physical AI

MIPS

MIPS launched three workload-native platforms for physical AI.

MIPS, by GlobalFoundries, a developer of AI inference platforms for energy-efficient physical AI systems and embedded devices, announced the launch of three new workload-native platforms.

The company said that these platforms bring physical AI capabilities to industrial machines, transportation platforms and embedded systems that are operating in the physical world.

MIPS adds a trio of workload-native platforms

MIPS said that these new platforms will enable the commercial and ecosystem development required for lowering modern AI onto tailored platforms with leading energy efficiency. 

“As intelligence moves into machines, vehicles, and other physical systems, compute platforms need to adapt to the workload,” said Sameer Wasson, CEO of MIPS. “MIPS is driving this shift with open, software-first platforms that give customers a common foundation to build, customize, and deploy Physical AI, with efficiency and tokens-per-watt as the foundation of our technology.”

The company said that its strategy places software first in the design approach, using open-standard technology and advanced modeling to guide developers and platform designers. MIPS said that the path from workload insights to an optimized platform implementation is delivered by its open & modular technology and experience in safety, real-time and AI inference for embedded custom technologies.

"The momentum behind RISC-V continues to be driven by strong industry collaboration and a growing software ecosystem,” said Manuel Uhm, director of silicon marketing, Embedded, AMD. “We welcome efforts that expand developer access, strengthen software readiness, and help customers take advantage of open-standard architectures across a broad range of applications." 

MIPS provided the following details of its new workload-native platforms:

  • Inference-Native: MIPS Acies is an AI inference developer platform for modern edge workloads, with an open, standards-based NPU, an open software stack and an easy-to-adopt form factor.
  • Event-Native: MIPS Actus is a real-time developer platform for event-driven embedded applications such as motion control, sensor fusion and predictive maintenance.
  • Safety-Native: MIPS Aegis is a developer platform for mission-critical physical AI systems that need low-latency and agentic processing.

“The continued growth of RISC-V depends on close collaboration across processor technology, software, and the broader development ecosystem,” said David Ku, co-COO and CFO of MediaTek. “MediaTek welcomes MIPS’ commitment to open standards and its contribution of proven processor and software expertise to help advance commercially ready RISC-V solutions.”

 

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Article Topics

Artificial Intelligence   Deep Learning   Machine Vision   Machine Learning   Components   Processors   Motion Control   News   Press Release   Computing   Embedded Systems   Energy   Open Source   Physical AI   Predictive Maintenance   Safety   Transportation  

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