GPU Architecture Assessment

Explore GPU-Native SQL for Your Data Architecture

Discover how Starburst's GPU-native analytics engine, built on NVIDIA cuDF, could help accelerate your analytics workloads without changing your existing SQL or applications.

  • Assess — Discuss your current data architecture and the analytical workloads your team wants to accelerate.

  • Identify — Explore query performance challenges and where GPU-native execution could improve performance and throughput.

  • Evaluate — Learn how Starburst and NVIDIA are bringing GPU-native SQL to enterprise analytics.

  • Plan — Identify potential next steps for evaluating GPU-native analytics in your environment.

Up to7x
Faster TPC-H query performance at production scale
11.4x
Faster on the top performing individual TPC-H query
3.4x
Higher ClickBench throughput

What you'll get

  • A 20-minute conversation focused on your data architecture and analytics workloads

  • An assessment of potential query performance challenges

  • Guidance on where GPU-native SQL could improve performance and efficiency

  • Practical next steps for evaluating GPU-native analytics with Starburst

A user or agent query routed to either the standard CPU engine or the Torin GPU engine