NVIDIA IndeX® is a 3D volumetric, interactive visualization SDK that allows scientists and researchers to visualize and interact with massive data sets, make real-time modifications, and navigate to the most pertinent parts of the data, all in real-time, making it possible to gather better insights faster. NVIDIA IndeX leverages GPU-accelerated clusters for scalable, real-time, visualization, and computing of multi-valued volumetric data together with embedded geometry data. Benefits include: Visualization. Accurate, high-quality data visualization, feature representation, and annotation. Scalability. Optimized for NVIDIA GPUs, such as the NVIDIA V100 Tensor Core GPU, T4 Tensor Core GPU, P100 GPU and P4 GPU. Transparently scales across multiple GPUs, as well as, across multiple nodes. Node count can be selected upfront and the number of workers can be changed dynamically through horizontal scaling. Extensibility. Flexibility for a variety of application domains. NVIDIA IndeX is run in a Kubernetes cluster and requires NVIDIA GPU(s) for the application to run. Visualization and interaction is done through the NVIDIA IndeX native web viewer.

For Multi-Node deployments with Parallel Cluster, please check the "Cloud HPC Deployment Guides" link below.