By enabling AI in a traditional virtualized environment, NVIDIA AI Enterprise enables companies to incrementally add AI technologies to existing infrastructure while maintaining centralized resource management. Experimental AI training and re-training can also be done by individual developers sharing the same infrastructure, providing the highest benefits at the lowest cost. Furthermore, the solution can be scaled quickly in a hybrid cloud environment, leveraging containerized platforms such as Kubernetes.
Virtualization of hardware resources plays a pivotal role in visualization workloads, especially as more professionals work remotely. NVIDIA Omniverse™ Enterprise Platforms provide collaboration capabilities for enterprise visualization professionals, and Supermicro offers a variety of hardware solutions to optimize the remote workstation experience. In this session, we discuss “right-sizing,” a hardware configuration based on workload and user requirements, and give an overview of licensing and deployment.