Components & Peripherals News
The 10 Hottest Semiconductor Startups Of 2023 (So Far)
These semiconductor startups could benefit from the hype around generative AI that has some companies looking at alternatives to GPU powerhouse Nvidia and better ways to architect systems. Some of these young companies are working on foundational or adjacent technologies that could improve the way AI work is computed in the future.
Founder, CEO: Krishna Rangasayee
SiMa.ai said its edge AI technology combines “jaw-dropping performance” and “incredible power efficiency” with a “beautifully simple, push-button software experience.”
In June, the San Jose, Calif.-based startup said that its Machine Learning System on a Chip silicon for the embedded edge market entered mass production with the support of two PCIe-based production boards and Palette software for low-code machine learning development. The company also raised an additional $13 million in funding, bringing the total investment to $200 million.
SiMa.ai said its MLSoC beat Nvidia’s Jetson AGX Orin system-on-chip on power and latency with “stronger” frames per second per watt performance for inference, based on results submitted to MLPerf, a suite of machine learning benchmark tests for training and inference.