Manufacturing silicon is a delicate operation that requires precision and accuracy. In fact, the tiny features so carefully etched into the chips also make them susceptible to microscopic particles that can have a detrimental effect on the entire manufacturing process.
For this reason, cleanrooms (spaces that use filtration systems to limit airborne particles) are critical to ensuring consistency in the manufacturing process. In this respect, semiconductors have a lot in common with data: just as chip manufacturing requires a pure, carefully tuned process, so too must data be cleaned, prepared, and staged before it can achieve repeatable results and high yields.
And just as chips feed data to entire computing systems, high-quality data feeds generative AI models that create content that improves business outcomes.
Tailored Architecture for GenAI
Traditional computing architectures are not sufficient to power GenAI systems. Instead, the data that powers GenAI requires special approaches and supporting technologies.
These systems take vast amounts of data tokens – the letters, words and phrases used to train GenAI models – and process and refine them to deliver actionable intelligence through applications.
“Traditional data center architectures are not suited for these generative AI workloads,” said Jeff Clarke, Dell's COO, at Dell Technologies World. “An entirely new computing architecture has emerged.”
Clark said technology is shifting from computationally driven workflows to ones based on context and reasoning.
To feed modern datasets to GenAI models, organizations need GPU-powered systems that deliver massively parallel processing, high-speed storage, fast networking, and intelligent data pipelines.
While the model performs the vector calculations in the background, the resulting application is where the real magic happens for the end user.
These include digital assistants and AI agents that speed up sales operations, expedite the creation of marketing materials, and perform predictive maintenance in manufacturing facilities.
These capabilities have executives focused on GenAI's potential to transform their organizations: According to the Boston Consulting Group, 85% of C-level executives plan to increase investment in GenAI and AI technologies this year.
Partnering for smoother AI operations
For GenAI initiatives to help drive organizational productivity and innovation, high-quality data and fast, reliable infrastructure are essential.
But creating clean data is not easy, and there are only a limited number of data engineers with the capabilities to create quality data and feed it into the algorithms that feed the models. These experts also need to extend, fine-tune, and improve the models so they produce accurate results.
Moreover, connecting data pipelines to the right equipment to train and scale GenAI models is not for the faint of heart, and keeping up with the steady evolution of models that are getting smaller and more powerful while running on laptops and smartphones is challenging.
While it's true that data and applications are becoming more distributed, many organizations choose to run GenAI models in the data center or at the edge. Bringing AI to data gives organizations greater efficiency, security, and control, and it also requires new ways of thinking about system architecture.
This is where partners can help, and why Dell Technologies is building the Dell AI Factory.
Using a modular, open infrastructure, the Dell AI Factory provides the flexibility for organizations to adapt to achieve desired business outcomes, whether that be a digital assistant, an agent facilitating autonomous tasks, or something else entirely.
A modular approach and growing open ecosystem keeps organizations up to date with the latest and greatest AI innovations (including small-scale models), while Dell's professional services organization helps organizations prepare and integrate data, and identify and execute use cases, accelerating speed of adoption and time to first token.
To make the most of the AI boom, businesses need to produce repeatable results while tackling content creation at scale.
To learn more about the Dell AI Factory, click here..
This post was produced by Dell and Insider Studios.
