SiMa.ai’s New MLSoC Modalix System-on-Module Set to Accelerate Gen AI and Multi-modal Applications at the Edge

SiMa.ai’s New MLSoC Modalix System-on-Module Set to Accelerate Gen AI and Multi-modal Applications at the Edge

Bengaluru, March 13, 2025: SiMa.ai, the software-centric, embedded edge machine learning system-on-chip (MLSoC) company, today announced its first system-on-module (SoM) featuring the MLSoC Modalix 50 TOPS device. Developed in collaboration with Enclustra, an innovator in SoM development and FPGA design, this new form factor SoM expands the SiMa.ai portfolio to address the needs of thousands of organizations and a wide range of multi-modal and Gen AI use cases at the embedded edge.

SiMa.ai’s first SoM leverages the power and performance of MLSoC Modalix in a form factor compatible with the leading GPU SoM provider in the edge AI space. This compatibility enables seamless integration with existing SoM systems and carrier boards, significantly streamlining the adoption process while dramatically reducing development time and complexity. When paired with the SiMa.ai Palette and Palette Edgematic, the new SoM delivers unmatched flexibility and accelerates Gen AI application development and deployment.

The collaboration between SiMa.ai and Enclustra delivers a turn-key solution that lowers the total cost of deploying AI applications at the edge in environments that require a compact form factor and high performance, and the versatility to run diverse AI applications such as robotics, industrial automation, and unmanned aerial systems.

“The introduction of our Modalix SoM represents a critical expansion that addresses the diverse needs of the fragmented edge AI market,” said Krishna Rangasayee, CEO and founder of SiMa.ai. “Our partnership with Enclustra is removing integration barriers that typically slow companies down, making it remarkably simple for companies to upgrade from legacy edge compute solutions to Modalix’s superior performance.”

“At Enclustra, our mission is to drive high-performance, energy-efficient computing solutions for the most demanding edge AI applications,” said Philipp Baechtold, CEO of Enclustra. “Our collaboration with SiMa.ai is a game-changer—bringing together Enclustra’s deep expertise in FPGA and SoM development with SiMa.ai’s industry-leading MLSoC technology. The result is a compact, scalable, and seamlessly integrable solution that enables businesses to fast-track AI adoption at the edge while dramatically reducing development complexity and time-to-market.”