Summary
CentML, a machine learning and AI model efficiency startup, has raised $27 million in a seed funding round led by Gradient Ventures. The company has developed a software platform that can accelerate machine learning model training and inference, reducing costs and making AI projects more scalable. CentML’s software identifies traffic jams in model training and forecasts the time and cost of deploying a model, enhancing training using a compiler to rewrite programming source code as machine code. The funding will be used for further development of the optimization platform and business expansion.
Introduction
CentML, a machine learning and AI model efficiency startup, has secured $27 million in seed funding. Led by Gradient Ventures, Google’s AI-focused venture fund, the funding round also saw participation from Nvidia, Deloitte Ventures, and Thomson Reuters Ventures. CentML aims to address the challenges faced by companies in terms of performance and costs when deploying AI models. The company has created a software platform that can significantly speed up machine learning model training and inference, reducing costs and making it more affordable to scale AI projects.
Main Points
- CentML has raised $27 million in a seed funding round led by Gradient Ventures, with participation from Nvidia, Deloitte Ventures, and Thomson Reuters Ventures.
- The company has developed a software platform that can accelerate machine learning model training and inference, cutting costs and making AI projects more scalable.
- CentML’s software identifies traffic jams in model training and forecasts the time and cost of deploying a model.
- The software enhances training using a compiler to rewrite programming source code as machine code, resulting in accelerated model processing without any reduction in accuracy.
- The funding will be used for further development of the optimization platform and business expansion.
Conclusion
CentML has raised $27 million in seed funding to support its software platform, which aims to optimize machine learning and AI model efficiency. The software can accelerate model training and inference, reducing costs and making it more affordable to scale AI projects. With the funding, CentML plans to enhance its optimization platform and expand its business operations. The company’s innovative approach has the potential to make significant advancements in the field of machine learning and AI, addressing challenges related to performance and costs.