NVIDIA Introduces Cloud Native Stack for Simplified AI Application Development

This news story highlights NVIDIA’s latest innovation, the Cloud Native Stack (CNS), aimed at simplifying AI application development by integrating Kubernetes and GPU acceleration. The comprehensive architecture of CNS streamlines the deployment and management of AI workloads, addressing the growing demand for scalable and efficient infrastructure in the AI and data science sectors.

Key features of CNS include support for Multi-Instance GPU (MIG) and GPUDirect RDMA, essential for handling data-intensive AI models. The stack is flexible, allowing deployment on various environments and includes optional add-ons like microK8s, storage solutions, and monitoring tools. Integration with KServe enhances AI model evaluation and deployment, simplifying complex workflows associated with AI model training and inference.

The deployment of NVIDIA NIM with KServe on CNS further streamlines AI workflows, ensuring scalability, resilience, and easy management. Overall, the Cloud Native Stack offers a powerful solution for AI model and application development, enabling organizations to focus on innovation rather than infrastructure complexities.