NVIDIA WEBINAR
How to Optimize AI Models for Faster Inference
Offer
Join us for a conversation about accelerating generative AI and other modern model architectures with NVIDIA technologies.
We will discuss implementing and optimizing workflows on GPUs and the benefits of using GPUs for improved performance, scalability, and cost-effectiveness. This webinar will bring you up to date on the recent developments and reference approaches to accelerating new and novel models using generative AI as a practical example.
We will also provide a brief overview of how startups in the NVIDIA Inception Program have leveraged these widely available tools and the outcomes achieved.
We will discuss implementing and optimizing workflows on GPUs and the benefits of using GPUs for improved performance, scalability, and cost-effectiveness. This webinar will bring you up to date on the recent developments and reference approaches to accelerating new and novel models using generative AI as a practical example.
We will also provide a brief overview of how startups in the NVIDIA Inception Program have leveraged these widely available tools and the outcomes achieved.
Topics covered:
- Optimizing models with NVIDIA TensorRT
- Accelerating transformers and large language models with FasterTransformer
- Standardizing model deployment for fast and scalable inference with NVIDIA Triton Inference Server
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DGX Station Whitepaper
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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.
Dive deeper into the DGX Station and learn more about the architecture, NVLink, frameworks, tools and more.
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Speakers
Dhruv Singal
Solutions Engineer, NVIDIADhruv Singal is a solutions engineer at NVIDIA. He focuses on computer vision and natural language applications across many industry verticals. Prior to NVIDIA, Dhruv obtained his bachelor's degree in computer science from California Polytechnic State University, San Luis Obispo, where he studied parallel programming and deep learning.
Margaret Amori
Head of Inception N. America, NVIDIAMargaret Amori is responsible for the North American region within the Inception Program. She leads a team that identifies startups to join the Inception program, nurtures those startups through engineering support and technology access, and ultimately accelerates their route to market through customized support. Previously, Margaret spent nearly two decades supporting the U.S. government on a variety of IT transformations to include, most recently, adoption of artificial intelligence. Margaret holds a bachelor’s degree from The College of William & Mary and a master’s degree from Virginia Tech.
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