SiMa.ai raised $70M in funding to introduce a multimodal GenAI chip
SiMa.ai, a machine learning system-on-chip company has announced to raise $70 million funding as the company plans to its second generation chipset for the generative AI.
SiMa.ai is a start-up, San Jose-based Company that was founded by Krishna Rangasayee. The company is targeting a market of 5W -25W energy usage. They have introduced their first machine learning SOC chips, which they called Palette. These palettes were to bring AI and ML together to form an integrated hardware-software combination. Their palette is being used by around 50 AI companies globally, as per the sources.
After the unremarkable success of Sima’s first AI chips, the company is now going to introduce a second-generation chipset to the world. The company claims that with the reveal of there, second generation chips sima.ai will unveil ‘one software-centric platform for all edge AI’. These chips will be a new innovations from Arm, Synopsys, and TSMC, specifically, as per the company.
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The generative AI market is expected to grow in the coming years. In the press release the CEO of Sima AI made a statement that” AI — particularly the rapid rise of generative AI — is fundamentally reshaping the way that humans and machines work together. Our customers are poised to benefit from giving sight, sound, and speech to their edge devices, which is exactly what our next-generation MLSoC is designed to do,”.
“We have established undeniable technology leadership with our first generation MLSoC and with that momentum, also recognized the imminent need to equip our customers with one software-centric platform that supports all modalities from computer vision to GenAI. To that end, we’re accelerating our ability to execute and have strengthened our investor base even further with the addition of Maverick Capital, Point72, and others, as we remain laser-focused on powering the edge the world relies on.”, he continued.
Currently, the company has 160 employees among them 65 are serving at their Bangalore office in the R&D team. The company is expected to grow in the coming years and is planning to increase its workforce for better performance and efficiency. The company also claims that among all its peers they are performing better even if it comes to Hellio or Nivida AI chips. Their software is better and more efficient for generative AI markets.
“You cannot predict the future, but you can pick the vector and say, hey, that’s the vector I want to bet on. And I want to continue evolving around my vector. That’s kind of the approach that we took architecturally,” said Rangasayee in his statement.
