Develop and Deploy Scalable Generative AI Models Seamlessly with NVIDIA AI Workbench
Develop and Deploy Scalable Generative AI Models Seamlessly with NVIDIA AI Workbench | NVIDIA Technical Blog
“Developing custom generative AI models and applications is a journey, not a destination. It begins with selecting a pretrained model, such as a Large Language Model, for exploratory purposes—then developers often want to tune that model for their specific use case. This first step typically requires using accessible compute infrastructure, such as a PC or workstation. But as training jobs get larger, developers are forced to expand into additional compute infrastructure in the data center or cloud.
The process can become incredibly complex and time consuming, especially when trying to collaborate and deploy across multiple environments and platforms. NVIDIA AI Workbench helps simplify the process by providing a single platform for managing data, models, resources, and compute needs. This enables seamless collaboration and deployment for developers to develop cost-effective scalable generative AI models quickly…”