MIPS’ cover photo
MIPS

MIPS

Semiconductor Manufacturing

San Jose, California 22,613 followers

Physical AI is Built on MIPS

About us

MIPS is accelerating compute density in the automotive, cloud and embedded markets. Giving customers the freedom to build unique products for specific workloads, MIPS’ industry-leading cores are configurable, efficient and easy to implement. Its multi-threading methodology delivers advanced scalability and the ability to efficiently move and process data faster. The company’s compute DNA spans more than two decades with billions of MIPS-based chips shipped to date. For more information, visit MIPS.com.

Website
http://www.mips.com
Industry
Semiconductor Manufacturing
Company size
11-50 employees
Headquarters
San Jose, California
Type
Privately Held
Founded
1998
Specialties
Semiconductor IP

Locations

Employees at MIPS

Updates

  • MIPS reposted this

    Physical AI is redefining semiconductor design and it requires a new approach to compute architecture, software, and system connectivity 🤖 In this interview, Drew Barbier, Vice President of the IP Business Unit at MIPS, shares how MIPS is embracing a software-first strategy to develop RISC-V-based solutions for the next generation of AI applications. He also explains why collaboration with Arteris is essential for ensuring processor cores integrate seamlessly into complex, coherent SoCs helping customers meet increasing demands for bandwidth, data movement, memory traffic, and quality of service. Watch the video to learn more ⤵️ #physicalAI #AI #RISCVEverywhere #semiconductors #SoC #NoC #ChipDesign #Arteris #MIPS RISC-V International

  • View organization page for MIPS

    22,613 followers

    In a recent conversation with Nitin Dahad, MIPS by GF CEO Sameer Wasson and CTO Yankin Tanurhan shared how MIPS’ software to silicon with RISC-V strategy is stronger with the combination of MIPS and ARC AI and processors, creating the largest RISC-V IP provider on the planet. They also cover the future architectural shifts in autonomous machines and highlight automotive and factory floor robotics as the largest manifestations of Physical AI.   Learn more in the video linked below. #PhysicalAI #MIPS #ARC #RISCV

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  • View organization page for MIPS

    22,613 followers

    MIPS by GF delivers software to silicon with RISC-V for building Physical AI platforms. As decisions move closer to where data is generated and actions are taken, new Physical AI systems are emerging. MIPS virtual platforms enable software-first design, leveraging open, standards-based processor IP to address the computing challenges of the “sense, think, act, communicate” signal-chain.     The combined MIPS and ARC team deliver the world’s best RISC-V portfolio backed by the deep expertise required for building the autonomous edge platforms of tomorrow. These platforms will blend modern AI inference with signal processing, event-driven control, mission-critical applications, and data processing at the point of action in harsh, unpredictable environments.    Learn more in this video  🎥  #MIPS #ARC #RISCV #PhysicalAI

  • View organization page for MIPS

    22,613 followers

    As AI expands into more devices and environments, purpose-built compute architectures will be critical to bringing efficient intelligence to the edge. At DAC, The Chips to Systems Conference, MIPS by GF's Gert Goossens and Viswateja Nemani will present “Designing Power- and Area-Efficient Custom NPUs for Edge AI,” exploring how application-specific architectures can be tailored to the AI workloads they need to run, helping optimize power consumption and silicon area. The presentation will highlight “SmarT,” an application-specific instruction-set processor with a RISC-V ISA and specialized vector units designed for edge AI workloads, including low-power sensor, audio and video applications. Learn more and join the presentation Wednesday, July 29, at 10:45 a.m.  #DAC2026 #EdgeAI #AI #RISCV #NPU #Semiconductors #EmbeddedAI

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  • View organization page for MIPS

    22,613 followers

    The path from FPGA prototype to custom ASIC silicon can be out of reach for many of the small design teams driving the most novel work in semiconductors. A new HyperFRAME Research whitepaper highlights how Apex Compute used the MIPS, by GF, open, RISC-V-based SoC platform to ship a working full-stack FPGA development kit and establish a path to a production ASIC. With the ARC Processor IP Solutions portfolio now part of the portfolio of AI, MPU, MCU, and DSP cores, the combined catalog further extends what customers can build. Read more in the whitepaper below ↓    #MIPS #IP #RISCV  

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  • View organization page for MIPS

    22,613 followers

    At #COMPUTEX2026, MIPS, by GF CEO Sameer Wasson shared MIPS' software-first approach to Physical AI: open, standards-based RISC-V IP inside purpose-built silicon, enabling customers to customize for their own workloads.      Sameer explained that software to silicon with RISC-V is critical as Agentic AI at the edge is redefining the compute paradigm. The industry has historically started with hardware, but MIPS takes a software-first open approach, enabling customers to customize instead of being locked into proprietary architecture, which stifles innovation.      With the ARC and MIPS portfolios now one team, MIPS is the largest RISC-V IP provider and the second largest compute and AI IP provider on the planet. This gives MIPS scale, stability, and an end-to-end portfolio from entry-level cores to high-end NPUs, all designed with Physical AI in mind to sense, think, act, and communicate. MIPS lowers the barriers of adoption for custom silicon and accelerates turnkey enablement for customers to innovate quickly.     Watch Sameer's presentation at the link below to learn more.    #COMPUTEX2026 #PhysicalAI #RISCV #EdgeAI #MIPS

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  • View organization page for MIPS

    22,613 followers

    EE Times | Electronic Engineering Times’ Nitin Dahad spoke with Sameer Wasson, CEO of MIPS, by GF and Andrea Gallo, CEO of RISC-V International, discussing how software-to-silicon approaches are shaping how next-generation systems are built.    Their discussion covered recent industry consolidation and what this means for customers, why RISC-V is increasingly emerging as the default ISA for new silicon designs, and how the industry is shifting toward software-first, workload-optimized architectures for AI at the edge. As AI enables more autonomous environments, the industry is converging on a new design model, where workloads, architecture, and software are defined together.  Watch the video linked below ⬇️  #PhysicalAI #EdgeAI #RISCV #EmbeddedSystems

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