[ MAY 8 | 10AM ET / 3PM BST ]

Webinar: Accelerating AI Performance for Quant Workloads

In quantitative finance, speed and accuracy are critical but rising data volumes and model complexity are pushing traditional infrastructure to its limits.

This webinar explores how top financial institutions are evolving their data strategies to support next-gen quant workloads and real-time decision-making. We’ll cover:

  • Achieving ultra-low latency and high I/O throughput for trading and modeling
  • Streamlining data prep and analytics with scalable, metadata-rich platforms
  • Managing global datasets seamlessly across on-prem, cloud, and edge environments
  • Optimizing infrastructure to boost GPU utilization, reduce data movement, and accelerate time to insight
Register
Featured Speakers

Moiz Kohari
VP of Enterprise AI & Data Intelligence

DDN

Ryan Deans
FSI and AI Lead

DDN