Pushing the boundaries of edge AI
Edge AI is rapidly advancing, and SiMa.ai is at the forefront of this innovation with its new MLSoC Modalix chip. This smaller, lower power chip is designed to support advanced AI models such as Convolutional Neural Networks (CNNs), Transformers, and Generative AI, while delivering industry-leading energy efficiency and scalable performance. SiMa.ai CEO Krishna Rangasayee highlighted the chip’s potential applications in industrial automation, healthcare, smart vision systems, aerospace and defense, and human-robot interactions.
Generative AI, which has mostly been limited to desktop PCs and mobile devices, is now being deployed in specialized edge devices thanks to companies like SiMa.ai and GPU leader Nvidia. SiMa.ai’s MLSoC Modalix platform can handle multimodal AI processing, integrating inputs such as text, images, and audio. This opens up possibilities for reasoning at the edge and combining various types of data inputs. The platform introduces several configurations with different performance levels, all engineered to minimize power consumption.
One of the key advantages of SiMa.ai’s technology is its performance-per-watt, which outperforms immediate competitors in real-life applications. The MLSoC Modalix chip enables customers to overcome power and cooling constraints, making it a game-changer for edge AI.
Endorsed by industry players
SiMa.ai’s MLSoC Modalix family has garnered attention and endorsement from industry leaders. Arye Barnehama, CEO of Elementary, praised the platform’s energy efficiency and high performance, aligning with Elementary’s vision inspection systems. Vaibhav Ghadiok, CTO of Hayden AI, highlighted the platform’s ability to enable multimodal AI on power-constrained edge devices.
SiMa.ai’s Palette Edgematic software stack, which accompanies the MLSoC Modalix platform, is a no-code, drag-and-drop platform designed to make AI deployment accessible to non-specialist developers. With features like an integrated Image Signal Processor (ISP), PCIe Gen 5 support, and eight Arm Cortex-A65 CPUs, the platform is built to handle a range of AI workloads and seamlessly integrate AI into existing workflows.
A growing edge AI market
SiMa.ai’s latest product launch positions the company as a competitor to industry giant Nvidia. While Nvidia dominates in cloud-based AI applications, SiMa.ai focuses on real-time, on-device processing, which is critical for edge AI. Analysts predict that the global edge computing market will double in the coming years due to advances in AI and the increasing demand for real-time decision-making at the edge.
SiMa.ai’s MLSoC Modalix family is well-positioned to meet this growing demand. Its ability to process multimodal AI models on a single chip sets it apart, making it an attractive option for industries looking to leverage AI at the edge. With strong backing from investors like Dell Technologies Capital and endorsements from industry partners, SiMa.ai is poised to lead the next wave of AI innovation at the edge.
