How to respond to rapidly scaling Geospatial Intelligence with OmniSci and Pavilion

Geospatial insights powered by NVIDIA GPUs on Pavilion data storage - NVIDIA GTC On-Demand Session # GTC SS33294

With an ever-increasing volume, velocity, and variety of data from sources like satellites, sensors, drones, IoT, and telematics, the ingest, processing, and rendering of spatiotemporal data quickly surpasses the capacity of local storage for DGX™ systems. This is especially true when months and years (not hours) of data are needed for visualization and real-time response.

No longer can customers filter or statistically sample data with the analytics fidelity required for telecommunications firms or government agencies. Innovative solutions are needed to enable precise insights at the speed of curiosity.

Pavilion and OmniSci address this problem with a new database architecture that delivers 100x faster queries, server-side rendering, and speed of thought visualization with supercomputing speed and scale, at an affordable cost.

OmniSci leverages the power of GPUs to render interactive visualization of massive geospatial data sets with millisecond latency. Pavilion enables this with the performance of internal storage, but at multi-petabyte scale using proven NVMe-oF and RDMA (RoCE) networking. Together, we answer complex questions like:

  • What happened?
  • When did it happen?
  • Where did it happen?
  • Why did it happen?
  • What will happen next?

For telecommunications firms, we address network reliability and design optimization, customer experience, and capital planning.

For government agencies, we enable information dominance in the battlespace, geospatial intelligence, healthcare fraud, waste, and abuse.

If you are in one of these market segments, this is a must-watch.

Please check out our recent GTC21 session, where Pavilion and OmniSci (sponsored by Carahsoft) illustrated how to respond to rapidly scaling geospatial intelligence using the most performant, dense scalable, and flexible data platform in the universe.

If you want to learn more about how the Pavilion is shattering expectations for GPU-based workloads, check out our other on-demand sessions and blogs:

How High Performance NVMe-oF Storage Accelerates CPU & GPU-Powered Virtualized Environments Demonstrated by Pavilion

How a multi-controller storage architecture shatters expectations for modern applications 

Visually investigating patterns in logs at scale with Graphistry, RAPIDS, and Pavilion