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SiMa.ai Expands ONE Platform for Edge AI with MLSoC™ Modalix, a New Product Family for Generative AI
Industry's first multi-modal, software-centric edge AI platform supports any edge AI model from CNNs to multimodal GenAI and everything in between with scalable performance per watt SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced MLSoC™
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SiMa.ai expands ONE platform for edge AI with new product family for GenAI
SiMa.ai, a software-centric, embedded edge machine learning system-on-chip (MLSoC) company, has announced MLSoC Modalix, which it claims is the industry's first multi-modal edge AI product family. The MLSoC Modalix supports CNNs, Transformers, LLMs, LMMs, and Gen AI at the edge. Krishna
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Edge chip maker SiMa.ai launches Modalix to bring multimodal gen AI everywhere
Join our daily and weekly newsletters for the latest updates and exclusive content on industry-leading AI coverage. Learn More Edge computer chip and software startup SiMa.ai, fresh off a $70 million funding round from industry heavyweights including Dell Technologies Capital, is expanding its
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SIMA.ai, a leading edge AI company, has introduced MLSoC Modalix, a new product family designed to enhance generative AI capabilities at the edge. This expansion of their One Platform for Edge AI aims to bring multimodal generative AI to various devices and applications.

SIMA.ai, a prominent player in the edge AI industry, has announced a significant expansion of its One Platform for Edge AI with the introduction of MLSoC Modalix, a new product family specifically designed for generative AI applications
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. This development marks a crucial step in bringing advanced AI capabilities to edge devices, potentially revolutionizing various sectors including automotive, robotics, and smart vision systems.The MLSoC Modalix family is built on SIMA.ai's machine learning system-on-chip (MLSoC) architecture, which combines high-performance computing with energy efficiency. This new product line is designed to support multimodal generative AI, enabling devices to process and generate content across different modalities such as text, images, and audio
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.One of the standout features of MLSoC Modalix is its ability to run large language models (LLMs) with up to 13 billion parameters. This capability allows for more complex and sophisticated AI applications at the edge, bridging the gap between cloud-based and edge-based AI solutions
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.The introduction of MLSoC Modalix is expected to have far-reaching implications across various industries. In the automotive sector, it could enhance advanced driver-assistance systems (ADAS) and enable more sophisticated in-vehicle AI assistants. For robotics, the technology promises to improve decision-making capabilities and human-robot interactions
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.Smart vision systems, another key application area, could benefit from improved object detection, scene understanding, and real-time analytics. This could lead to advancements in security systems, retail analytics, and industrial automation
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SIMA.ai's expansion into the generative AI space with MLSoC Modalix positions the company as a significant player in the rapidly growing edge AI market. By offering a solution that combines high performance with energy efficiency, SIMA.ai aims to address the increasing demand for AI capabilities in edge devices without the need for constant cloud connectivity
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.As the adoption of edge AI continues to grow across industries, SIMA.ai's MLSoC Modalix family is poised to play a crucial role in shaping the future of AI-powered devices and applications. The company's focus on multimodal generative AI at the edge could potentially unlock new use cases and innovations in fields ranging from consumer electronics to industrial IoT.
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