SiMa.ai secures $70M funding to launch multimodal GenAI chip

SiMa.aiThe Silicon Valley-based startup producing embedded ML system-on-chip (SoC) platforms today announced that it has raised $70 million in extension funding as it plans to introduce its second-generation chipset, which is specialized in Multimodal Generator is designed specifically for AI processing. , for the market.

According to Gartner, the market for AI-supporting chips is projected to grow globally More than double by 2027 Up to $119.4 billion by 2023. However, only a few players have started producing dedicated semiconductors for AI applications. Most of the major contenders initially focused on supporting AI in the cloud. However, various reports Significant growth predicted The AI ​​market is on the edge, which means hardware processing AI calculations is closer to the source collecting data than in a centralized cloud. SiMa.ai, named after Seema, the Hindi word for “boundary,” is driving this change by offering its cutting-edge AI SoC to organizations in the industrial manufacturing, retail, aerospace, defense, agriculture, and healthcare sectors. Tries to take advantage of.

The San Jose-headquartered startup, which targets the market segment between 5W-25W energy usage, launched its first ML SoC to bring AI and ML through an integrated software-hardware combination. It includes its proprietary chipset and no-code software palette, Krishna Rangasayee, founder and CEO of SiMa.ai, told TechCrunch that the combination is already used by more than 50 companies globally.

The startup says its current generation of ML SoCs has delivered the highest FPS/W results on MLperf benchmarks in the MLperf Inference 4.0 Closed, Edge and Power Division categories. However, the first generation chipset focused on classic computer vision.

As the demand for GenAI continues to grow, SiMa.ai is ready…

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