Google Cloud is expanding its offerings in the AI training space with the launch of Vertex AI Training, a service designed to cater to enterprises seeking to train their own models at scale. This move positions Google Cloud as a competitor to providers like CoreWeave and AWS, offering a managed Slurm environment, data science tooling, and access to chips capable of large-scale model training.
Jaime de Guerre, senior director of product management at Google Cloud, highlighted the growing demand from organizations of various sizes for better compute optimization in a reliable environment. The Vertex AI Training service targets companies engaged in large-scale model training rather than simple fine-tuning, focusing on longer-running jobs spanning hundreds or even thousands of chips.
Customizing AI models is becoming more prevalent as enterprises seek to create models tailored to their specific needs. Google Cloud’s Vertex AI Training differentiates itself by providing access to a wide range of chips, training management services, and expertise gained from training Gemini models.
Early adopters of Vertex AI Training include AI Singapore and Salesforce’s AI research team, demonstrating the service’s appeal to organizations building customized models. While training AI models can be expensive and complex, services like Vertex AI Training aim to simplify the process by offering managed environments for efficient model training.
Source: VentureBeat