Physical AI is Agentic AI at the Edge

Implementing the “Sense, Think, Act, Communicate” closed loop workload for real-time intelligence to enable autonomy

Physical AI is driving new market opportunities in on-device, low-latency intelligence for aerospace, automotive, communications infrastructure, data center infrastructure, enterprise storage, industrial automation, robotics and embedded platforms.

Trillions of sensors, machines, and vehicles are becoming autonomous, creating new market opportunities for efficient, real-time compute at the edge.

Physical AI is driving new market opportunities in on-device, low-latency intelligence for aerospace, automotive, communications infrastructure, data center infrastructure, enterprise storage, industrial automation, robotics and embedded platforms.

Trillions of sensors, machines, and vehicles are becoming autonomous, creating new market opportunities for efficient, real-time compute at the edge.

The Compute Challenge of Physical AI

"A robot is a machine that Senses, Thinks, Acts, and Communicates"

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Mapping Physical AI to Compute Engines

Breaking down the workload into engines

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HyperFRAME Research

HyperFRAME Research delivers in depth research and insights across the global technology landscape, spanning everything from hyperscale public cloud to the mainframe and everything in between. HyperFRAME industry analysts have published their analysis of the MIPS Atlas portfolio and turnkey approach to Physical AI compute subsystems.

MIPS Unlocks the Potential of Physical AI with safe, scalable, application-driven solutions

MIPS focuses on delivering real customer opportunities with safe, scalable physical AI. The portfolio, aligned into a Sense | Think | Act structure aims to deliver high-performance, reliable real-time compute as close as possible to where decisions and actions occur. In this paper, we discuss why and how this will be successful.

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Physical AI for the Autonomous Edge

HyperFRAME Research

HyperFRAME Research delivers in depth research and insights across the global technology landscape, spanning everything from hyperscale public cloud to the mainframe and everything in between. HyperFRAME industry analysts have published their analysis of the MIPS Atlas portfolio and turnkey approach to Physical AI compute subsystems.

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MIPS Drives Real-Time Intelligence into Physical AI Platforms

The new MIPS Atlas product suite delivers cutting-edge compute subsystems that empower autonomous edge solutions to sense, think and act with precision, driving innovation across the growing physical AI opportunity in industrial robotics and autonomous platform markets.

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MIPS S8200 Delivers Software-First RISC-V NPU To Enable Physical AI at the Autonomous Edge

  • MIPS S8200 NPU is sampling now to lead customers developing autonomous edge transportation, robotics, and embedded platforms
  • ForwardEdge ASIC selects MIPS S8200 NPU for advanced autonomous mission-critical platforms
  • MIPS enables universal on-device AI capabilities with support for modern models and class-leading efficiency
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MIPS Drives Real-Time Intelligence into Physical AI Platforms

Physical AI will enable the next generation of autonomous robots to sense the world around them, think to create a plan based on their role and situational understanding, and act to implement that plan.
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Synopsys ARC Acquisition

Acquisition will strengthen GF’s leadership in Physical AI, enhances compute capabilities, expands company’s RISC-V and AI portfolio and software tools and accelerates custom silicon development.

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MIPS Drives Real-Time Intelligence into Physical AI Platforms

The new MIPS Atlas product suite delivers cutting-edge compute subsystems that empower autonomous edge solutions to sense, think and act with precision, driving innovation across the growing physical AI opportunity in industrial robotics and autonomous platform markets.

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Unlocking a $1T market with the MIPS Atlas portfolio for Physical AI

Physical AI will enable the next generation of autonomous robots to sense the world around them, think to create a plan based on their role and situational understanding, and act to implement that plan.

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