SiMa.ai

Breaking Free from the CUDA Lock-in

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. The AI hardware landscape is dominated by one uncomfortable truth: most teams feel trapped by CUDA. You trained your models on NVIDIA GPUs, deployed them with TensorRT, and now the thought of switching hardware feels like rewriting […]

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SiMa.ai and Enclustra: Redefining Solutions for Physical AI

This blog post was originally published at SiMa.ai’s website. It is reprinted here with the permission of SiMa.ai. At SiMa.ai and Enclustra, we don’t build products to follow trends – we engineer platforms that redefine them. Our collaboration is a prime example. By combining SiMa’s groundbreaking MLSoC™ Modalix with Enclustra’s proven SoM design expertise, we

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Introducing Modalix SoM: Power Efficient SoM with Rich Peripherals for Seamless Sensor Integration

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

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LLiMa: SiMa.ai’s Automated Code Generation Framework for LLMs and VLMs for <10W

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

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LLiMa: Real-time Edge Generative AI Under 10W, Built for You

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

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AI at the Edge: The Next Gold Rush

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

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Implementing Multimodal GenAI Models on Modalix

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

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SiMa.ai Next-Gen Platform for Physical AI in Production

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

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SiMa.ai Raises $85M to Scale Physical AI, Bringing Total Funding to $355M

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

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