Train an AI model once and deploy on any cloud

Organizations are increasingly adopting hybrid and multi-cloud strategies to access the latest compute resources and optimize cost. However, operationalizing AI applications across different platforms can be challenging. NVIDIA offers a consistent, full stack that allows developers to build on a GPU-powered instance and deploy applications on any GPU-powered platform without code changes. The NVIDIA Cloud Native Stack VMI is GPU-accelerated and comes pre-installed with Kubernetes and the NVIDIA GPU Operator. This enables organizations to build, test, and run GPU-accelerated containerized applications with better GPU performance and utilization. Enterprise support for NVIDIA Cloud Native Stack VMI and GPU Operator is available through NVIDIA AI Enterprise. Additionally, Run:ai has certified NVIDIA AI Enterprise on their Atlas platform, allowing enterprises to streamline the development and deployment of AI models.

https://developer.nvidia.com/blog/train-your-ai-model-once-and-deploy-on-any-cloud-with-nvidia-and-runai/

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