However, as the Edge grows, opportunities lie for new companies to diverge from data center architecture. SiMa (pronounced See-ma) is one such company that is currently making waves in the Edge AI ...

As over-100-employee SiMa.ai works to productize its first-generation chip, work is underway on the second-generation architecture, Rangasayee said. “SiMa.ai’s software and hardware platform ...

SiMa.ai has raised $70 million in an extension funding round as it plans to bring its chipset for multimodal ... we really haven’t walked away or had to drastically change our architecture.

SiMa.ai ’s holistic approach is also reflected in the MLSoC P latform’s architecture. It comprises an ML accelerator (MLA), a tile-based element that achieves 50 TOPS at 5W, and takes care of ...

The efficiency of the MLSoC architecture provides the ability to meet the power constraints of the smallest embedded edge form factors. SiMa.ai’s 10x performance advantage provides headroom to ...

SAN JOSE, Calif.– SiMa.ai, the software-centric, embedded edge machine learning system-on-chip company, today announced it has raised an additional $70M of funding led by Maverick Capital, with ...

SiMa.ai goes up against a raft of mobile and embedded competitors. In the edge market, competitors include AMD, now the parent of Xilinx, intellectual property giant ARM, Qualcomm, Intel, and Nvidia.

Sima.ai, a company developing embedded edge hardware for machine learning applications, today announced that it raised $80 million in a series B round led by Fidelity Management & Research Company ...

The Series B financing will enable SiMa.ai to productize its first generation machine learning SoC (MLSoC™) platform, as well as jumpstart the second generation product architecture and development.