Generative AI to speed up business transformations
The term generative AI (GenAI) has become a hot topic of late, due to the increasing popularity of generative AI applications, including OpenAI’s conversational chatbot ChatGPT and AI image generator, DALL-E.
GenAI encompasses models and algorithms that are capable of producing brand-new output, such as text, images, videos, code, data, or 3D renderings, from the extensive amounts of data on which they were trained.
Compared to other AI categories, GenAI primarily focuses on content creation, as opposed to other forms of AI, that may be used for different purposes, such as data analysis or helping to control self-driving cars.
One such company expanding its GenAI capabilities is Dell Technologies. Through the development of its Generative AI Solutions portfolio, the company is looking to help businesses transform how they work along every step of the GenAI journey.
Jeff Boudreau, Dell’s first-ever Chief AI Officer, says: “To maximise AI efforts and support workloads across public clouds, on-premises environments and at the edge, companies need a robust data foundation with the right infrastructure, software and services.
“That’s what we are building with our expanded validated designs, professional services, modern data lakehouse and the world’s broadest GenAI solutions portfolio.”
Maximising proprietary data through customised GenAI
The Dell Validated Design for Generative AI with NVIDIA for Model Customisation provides pre-trained models that extract intelligence from data, eliminating the need to build models from scratch.
This solution enables secure, on-premises customisation of GenAI models, supporting a variety of tasks with proprietary data. It's versatile, accommodating diverse computational needs, including training, transfer learning, and prompt tuning.
Dell Validated Designs for Generative AI now support both model tuning and inferencing, facilitating quick deployment using Dell PowerEdge servers and NVIDIA AI Enterprise software. Storage options like Dell PowerScale and Dell ObjectScale support multiple data types. This infrastructure is also available as a subscription through Dell APEX.
“We’re implementing Dell PowerEdge XE9680 servers with NVIDIA H100 Tensor Core GPUs into the high-performance computing cluster at Princeton for large language modelling to help drive new levels of discovery,” says Sanjeev Arora, the Charles C. Fitzmorris Professor in Computer Science, Princeton.
“This system gives researchers in natural sciences, engineering, social sciences and humanities the opportunity to apply powerful AI models to their work in areas such as visualization, modelling and quantum computing.”
Boosting business results through expertise, data preparation, and more
By applying its process and expertise, Dell is helping customers generate better, faster business results with expanded GenAI professional services capabilities.
Through its Data Preparation Services, Dell is able to provide customers with a clean, accurate data set in the correct format. This then streamlines AI projects, simplifies data integration, and ensures the production of high-quality data results.
Dell Implementation Services set up an operational GenAI platform for inferencing and model customisation, accelerating time to value. Combined with Dell Managed Services, Dell can effectively operate the full NVIDIA-based GenAI solution, enhancing operational efficiency and allowing customers to focus on developing their unique GenAI applications.
Education Services assist Dell’s customers in gaining the crucial skills to close the GenAI capabilities gap.
“Our recent study on Generative AI use in the enterprise made it clear organizations are adamant about being able to use their own data to customize key foundation models, but also they need assistance in helping prep their data for that work,” said Bob O’Donnell, President and Chief Analyst, TECHnalysis Research.
“Dell’s latest Generative AI solutions and partnerships offer a broad set of capabilities that help companies capitalize on this potential, bridging knowledge gaps and ensuring data drives discernible, impactful business results.”
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