This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. At SiMa.ai, we’re pushing the boundaries of what’s possible with Physical AI. Today, we’re proud to announce the sampling of our new System-on-Module (SoM), featuring the second-generation Modalix™ MLSoC. Designed to bring cutting-edge GenAI and LLM capabilities […]
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. In our blog post titled “Implementing Multimodal GenAI Models on Modalix”, we describe how SiMa.ai’s MLSoC Modalix enables Generative AI models to be implemented for Physical AI applications with low latency and low power consumption. We implemented
LLiMa: SiMa.ai’s Automated Code Generation Framework for LLMs and VLMs for <10W Read More +
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. LLiMa represents a paradigm shift in physical AI deployment that fundamentally changes how enterprises approach GenAI integration, enabling real Physical AI. While competitors typically offer pre-optimized models that were manually tuned for specific hardware configurations, LLiMa takes
LLiMa: Real-time Edge Generative AI Under 10W, Built for You Read More +
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. Generative AI has ushered in a new era of technological progress, reminiscent of the rise of the internet in the 1990s. Beyond the impressive chatbots we’re now used to, the constant flow of innovation has introduced new
AI at the Edge: The Next Gold Rush Read More +
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. It has been our goal since starting SiMa.ai to create one software and hardware platform for the embedded edge that empowers companies to make their AI/ML innovations come to life. With the rise of Generative AI already
Implementing Multimodal GenAI Models on Modalix Read More +
This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. The AI landscape is undergoing a monumental shift. After a decade where AI flourished in the cloud, scaled by hyperscalers, we are now entering the era of Physical AI. Physical AI is poised to touch every facet
The Era of Physical AI is Here Read More +
Modalix in Production, Now Shipping SoM Pin-Compatible with leading GPU SoM, Dev Kits, and LLiMa for Seamless LLM-to-Modalix Integration SAN JOSE, Calif., August 12, 2025 — SiMa.ai, a pioneer in Physical AI solutions, today is making three significant product announcements to accelerate the scaling of Physical AI. Production and immediate availability of its next-generation Physical
SiMa.ai Next-Gen Platform for Physical AI in Production Read More +
Maverick Capital Led the Oversubscribed Round with StepStone Group Joining as a New Investor SAN JOSE, Calif., August 1, 2025 – SiMa.ai, a pioneer in delivering purpose-built hardware and software solutions for Physical AI, today announced it has raised $85 million in an oversubscribed round, bringing total capital raised to $355 million. The latest round
SiMa.ai Raises $85M to Scale Physical AI, Bringing Total Funding to $355M Read More +
Transforming ADAS and In-Vehicle Infotainment Breakthroughs with Innovative ML IP, Chiplets, and System-on-Chip Reference Architectures SAN JOSE, Calif., July 30, 2025 /PRNewswire/ — SiMa.ai, a pioneer in ultra-efficient machine learning system-on-chip (MLSoC) platform, today announced the next phase of their strategic collaboration with Synopsys, the leading provider of engineering solutions from silicon to systems, to
SAN JOSE, Calif. and YOKOHAMA, Japan, July 29, 2025 /PRNewswire/ — SiMa.ai, the machine learning company delivering the industry’s first purpose-built software-centric MLSoC™ platform for the embedded edge, today announced a distribution partnership with Macnica, Inc. TecStar Company, one of Japan’s leading technology solutions providers. The partnership will accelerate adoption of SiMa.ai’s high-performance, low-power physical
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