SIGNALInfrastructure Software·Jul 6, 2026, 5:00 PMSignal75Short term

MIPS Software to Silicon with RISC-V. Interview with MIPS: “Physical AI is Agentic AI at the Edge”

Source: EE Times

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MIPS Software to Silicon with RISC-V. Interview with MIPS: “Physical AI is Agentic AI at the Edge”

MIPS bets RISC-V and ARC AI will power physical AI in cars and factory robots. Watch the interview and learn more. The post MIPS Software to Silicon with RISC-V. Interview with MIPS: “Physical AI is Agentic AI at the Edge” appeared first on EE Times .

Why this matters
Why now

The proliferation of AI at the edge, coupled with demand for open-source and customizable hardware, is driving investments in RISC-V based AI solutions.

Why it’s important

This move signals the growing viability and competitive threat of RISC-V in specialized AI hardware, particularly for autonomous systems at the edge, impacting competitive landscapes for established chipmakers.

What changes

MIPS is positioning RISC-V and ARC AI as a foundational technology for 'Physical AI' in crucial sectors like automotive and robotics, indicating potential for new industry standards.

Winners
  • · MIPS
  • · RISC-V ecosystem
  • · Edge AI hardware developers
  • · Automotive industry
Losers
  • · Proprietary AI chip architectures
  • · Legacy embedded processor companies
  • · Companies slow to adopt open-source hardware
Second-order effects
Direct

MIPS gains market share in the growing edge AI hardware segment, accelerating RISC-V adoption in demanding applications.

Second

Increased competition among chip designers for 'Physical AI' applications leads to rapid innovation and potentially lower costs for integrated AI solutions.

Third

The success of RISC-V in agentic AI at the edge could fragment the semiconductor market further, potentially leading to diverse, application-specific chip architectures rather than a few dominant players.

Editorial confidence: 90 / 100 · Structural impact: 60 / 100
Original report

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