"Generative AI Accelerates Business Transformation"

The term Generative AI (GenAI) has recently become a hot topic, thanks to the growing popularity of applications such as OpenAI's chatbot ChatGPT and AI image generator DALL-E.

GenAI includes models and algorithms that can generate new outputs from the large amount of data they are trained on, such as text, images, videos, code, data, or 3D renderings.

Compared to other categories of AI, GenAI primarily focuses on content creation rather than other forms of AI that may be used for different purposes, such as data analysis or assisting in controlling autonomous vehicles.

Dell Technologies is one of the companies expanding its GenAI capabilities. Through the development of its portfolio of generative AI solutions, the company aims to help businesses transform their workflows at every step of the GenAI journey.

"To fully leverage the power of AI and support workloads across public clouds, on-premises environments, and the edge, enterprises need a robust data foundation with the right infrastructure, software, and services," said Dell's first Chief AI Officer, Jeff Boudreau.

"That's exactly what we've built with our expanded portfolio of validated designs, professional services, modern data lakes, and the world's broadest set of GenAI solutions."

Maximizing proprietary data with customized GenAI

Dell's validated designs for generative AI, developed in collaboration with NVIDIA, offer pre-trained models that can extract intelligence from data, eliminating the need to build models from scratch.

This solution supports secure on-premises customization of GenAI models using proprietary data for various tasks. It is highly flexible and adaptable to various computing requirements, including training, transfer learning, and fine-tuning.

Dell supports model optimization and inference for generative AI through PowerEdge servers and NVIDIA AI Enterprise software. The generative AI validated designs now also support model optimization and inference, with support for various data types using Dell storage options such as PowerScale and Dell ObjectScale. This infrastructure can also be provided through Dell APEX subscriptions.

"We've combined Dell PowerEdge XE9680 servers with NVIDIA H100 Tensor Core GPUs into Princeton University's high-performance computing cluster for large-scale language modeling, enabling new levels of discovery," said Sanjeev Arora, Charles C. Fitzmorris Professor of Computer Science at Princeton University.

"This system provides researchers in natural sciences, engineering, social sciences, and humanities with the opportunity to apply powerful AI models to areas such as visualization, modeling, and quantum computing."

Enhancing business outcomes through expertise and data preparation

Dell helps customers generate better and faster business outcomes through its expanded GenAI professional services capabilities, leveraging its processes and expertise.

Through its data preparation services, Dell is able to provide customers with clean, accurate datasets in the right format. This simplifies AI projects, streamlines data integration, and ensures high-quality data results.

Dell's implementation services set up an operational GenAI platform for inference and model customization, accelerating time to value. Combined with Dell's managed services, Dell can effectively run complete NVIDIA-based GenAI solutions, improving operational efficiency and allowing customers to focus on developing unique GenAI applications.

Educational services help Dell's customers acquire critical skills to bridge the GenAI capability gap.

"Our recent research on the use of generative AI in enterprises clearly shows that organizations are firmly committed to being able to customize key foundational models with their own data, but they also need help in preparing the data for this work," said Bob O'Donnell, President and Chief Analyst at TECHnalysis Research.

"Dell's latest generative AI solutions and partnerships provide a comprehensive set of capabilities to help companies fully harness this potential, bridge the knowledge gap, and ensure data-driven, impactful business outcomes."