Geospatial insights powered by NVIDIA GPUs on Pavilion data storage at NVIDIA GTC Session # GTC SS33294 (Click now to add to your conference agenda)
With 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 at scale 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-attend session.
Please join us at GTC21, where Pavilion and OmniSci (sponsored by Carahsoft) will illustrate 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 sessions and pre-session blogs: