* Get a sneak peek at our sessions and events at NVIDIA GTC 2024 and how we're helping shape what's next in AI and accelerated computing.
As AI continues to transform every aspect of business, organizations are called to put it to work to increase productivity, deliver the right experiences for users and customers, and accelerate innovation. That's why we're excited to help organizations on their AI journeys with the broadest AI solutions portfolio from desktop to data center to cloud.¹ And there's no better place to do it than NVIDIA GTC 2024-bringing together industry luminaries, developers, researchers and business strategists helping shape what's next in AI and accelerated computing.
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Here's a little more on what to expect from us. We recommend bookmarking this post so you have it handy as a reference during the show.
Immerse Yourself in AI at the Dell Technologies Booth
Our
There's no better way to get to know our technologies than to try them out yourself, which is why our booth will offer a number of hands-on demos. Use generative AI (GenAI) for image creation at the Invoke + NVIDIA AI Workbench. Or learn how you can get up and running quickly with a retrieval augmented generation (RAG) proof-of-concept and put your data to work fast. Or configure infrastructure via a VR-connected digital twin experience. There will even be digital artists on hand to show you interactive GenAI drawing demos. All of this can inspire you with AI possibilities within your own organization.
Deep Dive on Our Technologies in Our Breakout Sessions
Once you've had a chance to explore what's on tap from
Unlocking the Potential of Generative AI with Your Data
The AI landscape has witnessed a remarkable growth, fueled by the rise of generative AI and the need for organizations to tailor solutions to their specific use cases. We'll explore why bringing AI to your data results in better outcomes, how techniques such as model augmentation can allow you to leverage smaller models and how our joint initiative with NVIDIA can reduce the friction of building or repurposing generative AI models in your environments. Session ID: S62977. Attend online.
Accelerate Generative AI Innovation with Dell PowerEdge
Join us for an overview of Generative AI solutions with NVIDIA and get an inside look at what's next for the Dell PowerEdge XE product family. We'll explore how
Turbocharging DGX SuperPOD with Dell Data Lakehouse and PowerScale
Organizations want to embrace AI but find they struggle with the complexity of finding, accessing, prepping and serving all the data that makes AI initiatives successful. In this session, you'll learn how to solve these challenges through an open, modern data lakehouse and a trusted NVIDIA DGX SuperPOD built on Ethernet technology and Dell PowerScale AI-Ready data platform. Session ID: S62991.
Redefining Limits: Empower Generative AI Using Cutting-edge Workstations
Interest in AI and machine learning workloads is growing, but along with it comes questions about the complexity of implementation. In particular, generative AI, with its ability to create original content, has shown great promise, but realizing its full potential requires significant computational power. Many organizations have wondered whether workstations have the muscle to handle the demands of generative AI workloads. This session explores the possibilities when you pair Dell Precision workstations with NVIDIA RTX GPUs. Session ID: S62995.
Performance Characterization for Different Model Customization Methods on Popular Foundational Models
To develop AI models tailored to their specific use cases, organizations need customized large language models (LLMs) infused with their domain knowledge. To help you get started, this session will delve into various techniques for customizing LLMs, including prompt engineering, prompt learning, fine-tuning and low-ranking adaptation. We'll talk through which model customization techniques and foundational models are best suited for various enterprise use cases, then investigate the performance characteristics of these model customization methods. Session ID: S62033.
Getting the Storage Right for AI Applications
Generative AI is a complex landscape when it comes to storage, requiring solutions that are high capacity, high performance, high bandwidth and low latency to support data ingestion, preparation, training and inference. Furthermore, storage platforms need to handle different file systems, protocols and networks to support multimodal models. In this session, we'll cover essential topics like hybrid, multicloud, data migration, security and capacity scaling. Our panel of experts from across the NVIDIA storage partner ecosystem will offer tips and strategies that can help you avoid potential issues to get the most from your storage for different AI applications. Session ID: S62476.
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