Reshaping Workflows with Dell Pro Max and NVIDIA RTX PRO GPUs
Episode: Inside the Dell AI Factory 2.0 with Jeremy Williford
Release Date: August 14, 2025
Host: Logan Lawler
Guest: Jeremy Williford, VP of Strategic Sales at NVIDIA
1. Introduction
In this insightful episode of Reshaping Workflows with Dell Pro Max and NVIDIA RTX PRO GPUs, host Logan Lawler welcomes long-tenured NVIDIA veteran Jeremy Williford. Jeremy brings nearly three decades of experience to the discussion, providing a deep dive into the evolution and advancements of the Dell AI Factory, particularly its second iteration, AI Factory 2.0.
2. Guest Background
Jeremy Williford has been with NVIDIA since its early days in 1998, witnessing and contributing to its transformative journey from a fledgling startup to a tech powerhouse. As the VP of Strategic Sales, Jeremy focuses on fostering strategic growth, building ecosystems, and ensuring seamless partnerships, especially with Dell, NVIDIA’s key ally in the high-performance computing space.
“I've been fortunate enough to be with NVIDIA for the past almost 28 years now... my official title is a VP of Strategic Sales... partnered with Dell to go do this mission.”
— Jeremy Williford [01:10]
3. Dell AI Factory 2.0: Evolution and Enhancements
The conversation shifts to the Dell AI Factory 2.0, an upgraded version of the initial AI Factory. Jeremy explains that while the first generation catered primarily to customers initiating AI training workloads, AI Factory 2.0 addresses the expanded and more complex needs of the modern AI landscape.
“The first generation... helped customers... starting a training type workload. But now... you need to provision these workloads... how the GPUs interact with one another, but how the nodes work with one another.”
— Jeremy Williford [04:40]
Key enhancements in AI Factory 2.0 include:
- Scalable Infrastructure: Transitioning from server boxes to entire rack structures that integrate GPUs and CPUs via the NVLink interface.
- Comprehensive Integration: Seamless interaction between compute, network, and storage fabrics, enabling real-time data processing and inferencing.
- Software Partnership: Dell now provides NVIDIA AI Enterprise directly, simplifying transactions and eliminating the need for separate customer license agreements.
“Dell can now be a provider of Nvidia AI Enterprise... allows them to transact with Dell without... separate agreements.”
— Jeremy Williford [07:50]
4. Hardware Advancements: GB10 and GB300
Jeremy introduces the latest hardware innovations, the Dell Pro Max with GB10 and GB300 systems:
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GB10: A compact, desk-side system resembling a Kleenex box but delivering the performance of an eight-way server. Priced under $5,000, it offers AI developers a portable solution for building and refining AI models without relying on cloud infrastructure.
“It's literally like a Kleenex box... but it's the same performance as our first eight-way server.”
— Jeremy Williford [05:20] -
GB300: A more powerful system capable of handling up to a trillion-parameter models, designed for enterprise-scale AI deployments. Although its server-level performance fits within a workstation-sized chassis, it's tailored for environments lacking extensive data center resources.
“It's server-level performance in a normal workstation case... designed for those who might not have a data center.”
— Logan Lawler [16:46]
5. Software Integration: NVIDIA AI Enterprise and Beyond
A significant portion of the discussion centers on software integration. NVIDIA AI Enterprise now being directly supported by Dell enhances the AI Factory 2.0 by providing a robust software stack that includes tools like Nemo Retriever and Omniverse.
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Nemo Retriever: Facilitates semantic searches and contextual data retrieval, essential for organizing and utilizing vast data structures within enterprises.
“With AI, you should be able to do a semantic search... understanding what’s in that data structure.”
— Jeremy Williford [24:52] -
Omniverse: Enables the creation of digital twins and virtual environments for robotics training and simulation, bridging the gap between virtual and physical worlds.
“The most amazing things... related to AI work for Digital Twin and Omniverse... robotics training and simulation.”
— Jeremy Williford [33:13]
6. AI Use Cases and Applications
Jeremy highlights real-world applications of the Dell AI Factory:
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Generative AI for Content Creation: Enhancing tasks like video editing and audio transcription with tools such as Nemo.
“I use Nemo to release the Parakeet model... gives me an accurate transcript of this entire episode.”
— Logan Lawler [27:08] -
Digital Twins and Robotics: Training robots in virtual environments to prevent physical errors and optimize performance.
“Creating a prototype car in 3D that doesn’t exist... training in real-time environments.”
— Logan Lawler [35:54]
7. AI Adoption Challenges: Focus and Data Structure
Two primary challenges in AI adoption emerge from the conversation:
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Focus Amid Proliferation of AI Initiatives: Many enterprises engage in disparate AI projects without a cohesive strategy, leading to inefficiencies.
“We have a bunch of well-intentioned people... but they lack the strategic vision to focus on what’s most valuable.”
— Jeremy Williford [28:39] -
Data Structuring: The majority of enterprise data remains unstructured or "cold," hindering effective AI utilization.
“80% of the world’s data is cold structures... organizing your data to get the information you want.”
— Jeremy Williford [28:57]
Dell and NVIDIA aim to address these by providing comprehensive tools and consulting services to help enterprises strategize and structure their data effectively.
8. NVIDIA's Historical Perspective: A Decade of Vision
Reflecting on NVIDIA's journey, Jeremy recounts a pivotal decision to make GPUs programmable and general-purpose, long before the market fully recognized the potential of parallel computing for AI.
“But the moment he built that first system, he gave it to... OpenAI launched ChatGPT. That was the moment... built on 15 years of NVIDIA and Jensen staying committed.”
— Jeremy Williford [42:57]
This foresight under Jensens’s leadership positioned NVIDIA at the forefront of the AI revolution, culminating in the company's current market dominance.
9. Future of AI and Mass Adoption
Looking ahead, Jeremy envisions a transformative shift with Agentic AI, where intelligent agents operate across various enterprise systems to enhance productivity and decision-making. This evolution will necessitate robust on-premises infrastructure, capable of handling sophisticated AI workflows without relying solely on cloud services.
“Agentic AI workflow... systems will have agents that work in every element of all of these databases.”
— Jeremy Williford [37:20]
He predicts that the seamless integration of AI within daily operations will soon become indispensable, marking the next pivotal moment in AI adoption.
10. Closing Thoughts
As the episode wraps up, Jeremy emphasizes the importance of software ownership and strategic AI infrastructure planning. He urges enterprises to adopt solutions like GB10 and GB300 to maintain agility and control over their AI initiatives.
“Think about how you own your own software outcomes... build an AI strategy and long-term supportable scale-out structure.”
— Jeremy Williford [49:22]
Logan and Jeremy conclude with a mutual appreciation for the dedication at NVIDIA and Dell, underscoring the collaborative efforts driving AI innovation forward.
Takeaways:
- Dell AI Factory 2.0 represents a significant advancement in AI infrastructure, integrating scalable hardware with comprehensive software solutions.
- GB10 and GB300 offer versatile, high-performance systems tailored for both desk-side developers and enterprise-scale deployments.
- Software tools like NVIDIA AI Enterprise, Nemo Retriever, and Omniverse are crucial for effective AI adoption and utilization.
- Strategic focus and efficient data structuring are essential for overcoming current AI adoption challenges.
- NVIDIA’s long-term vision and commitment to programmable, parallel computing have been instrumental in shaping the AI landscape.
For enterprises looking to stay ahead in the AI-driven future, leveraging the synergy between Dell Pro Max systems and NVIDIA RTX PRO GPUs is paramount.