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

Shattering expectations for real-time GPU and GPUDirect visualization at NVIDIA GTC Session # SS33029 (Click now to add to your conference agenda)

Only a few visualization tools take full advantage of GPUs and GPUDirect to deliver real-time graph analytics across petabytes of incoming and stored data. Graphistry’s breakthrough software and pipeline technology, combined with NVIDIA GPUs and GPUDirect along with Pavilion’s universally unmatched storage enables the next generation of interactive visualization for incident response, SIEM optimization and threat hunting across market segments including financial services, federal agencies and data science.

Please join Pavilion and Graphistry at GTC21, to learn about Visually Investigating Patterns in Logs at Scale with Graphistry, RAPIDS, and Pavilion using the most performant, dense scalable, and flexible data platform in the universe.
We’ll share the applications and architectures with design experience. We’ll describe combining the GPU components: UMAP/cuGraph pattern mining, cuDF data wrangling, Graphistry/Jupyter/StreamLit point-and-click UI, then add in dask-cudf, GPUDirect, and Pavilion storage.

Finally, we’ll discuss what is easy/hard to do and provide recommendations. Attendees can run and fork the open-source reference architecture and chat about it with the RAPIDS community.

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:

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

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

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