Nvidia has quietly acquired OmniML, an AI startup specializing in compressing machine learning applications for edge devices. The acquisition took place in February but was recently made public. An Nvidia spokesperson confirmed the company's intention to integrate OmniML's technology into its AI software. OmniML's focus is shrinking ML models to bridge the gap between AI applications and edge devices. - Its software focuses on models for computer vision applications, such as enabling a smart camera or self-driving car to identify nearby objects.
- The acquisition suggests that Nvidia wants to enhance its AI hardware for areas like autonomous vehicles, industrial robots, and drones.
- Omni's team could also help miniaturize AI software for chatbots, enabling it to run on devices instead of in the cloud in data centers.
- The deal's terms were not disclosed.
About Omni: - OmniML was founded in 2021 by Di Wu, a former Facebook engineer, along with Song Han, an MIT professor in electrical engineering and computer science, and Huizi Mao, a co-inventor of deep compression technology.
- In March 2022, the California-based raised $10M in seed funding led by GGV Capital.
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