~/talk

Josh Patterson, Voltron Data | Nvidia GTC 2024

Talkat NVIDIA GTC 2024 · 2024-03-18..03-21· [data-engineering, machine-learning]
links:none on file
slides:none on file

Claims a ground-up C++ execution engine that runs everything on NVIDIA GPUs (decompression, CSV parsing, joins, aggregations) and leverages GPU Direct Storage, UCX/InfiniBand and flash to hit multi‑TB and 100+TB queries. Benchmarks state a Theseus distributed query engine runs 10/30/100 TB workloads, plateaus CPU at ~200 nodes/6,400 cores, and that 2 DGX A100s outperform 200-node Spark, delivering roughly a 100X server reduction for large analytic ETL and feature‑engineering pipelines.

AI-written summary · about

  1. 0:00The founding of Voltron Data
  2. 1:43Evolution of data analytics
  3. 3:24Optimizing GPU performance
  4. 5:56Scaling for large datasets
  5. 7:59Use cases and execution
  6. 10:54Business and licensing model
  7. 12:59Vision and company strategy
  8. 14:35Future of digital twins
  9. 18:31Closing elevator pitch
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