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Introduction

Date: Wednesday, February 22, 2023
Time: 8:00 AM - 9:00 AM PT
Duration: 1 hour


In today's financial market, processing millions of packets per second at low latency gives organizations the ability to take decisive action at just the right time. Recent innovations in CUDA® and GPU architectures, along with NVIDIA DOCA™ and DPU processing, are making the concept of GPU-accelerated, low-latency applications a reality.


Systems that are architected for low latency can exhibit spikes in latency when the consumer system's processing capability becomes saturated. GPUs provide new processing capabilities not previously exploited in these types of environments. Many financial Institutions like exchanges, hedge funds, or data providers can benefit from solutions that leverage NVIDIA networking and GPU technologies.


Join our webinar to explore the hardware and software stacks that enable new workloads in this low-latency space.



By attending this webinar, you'll:
  • Learn about financial use cases, such as market data ingest, that can benefit from NVIDIA DPU and GPU acceleration
  • Understand the benefits and capabilities of new NVIDIA converged accelerator hardware
  • Understand the role of software architectures, such as DOCA and CUDA, and components to build accelerated solutions
Join us after the presentation for a live Q&A session.

Webinar Registration

THANK YOU FOR REGISTERING FOR THE WEBINAR



You will receive an email with instructions on how to join the webinar shortly.

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DGX Station Datasheet

Get a quick low-down and technical specs for the DGX Station.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
DGX Station Whitepaper

Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.

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Speaker

Dustin VanStee

Senior Solution Architect, NVIDIA

Dustin is a senior solution architect working in the Financial Services and Technology team at NVIDIA, where he focuses on GPU acceleration for key industry workloads. He has a master's of computer and systems engineering degree from Rensselaer Polytechnic University and completed his undergraduate studies at Calvin University. Dustin has over 20 years of experience and worked for IBM as a chip design engineer and later as a data scientist. He holds over 20 patents in the field of Flash and DRAM memory technology.

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Register

Webinar: Description here

Date & Time: Wednesday, April 22, 2018