Podcast Summary
Podcast: Reshaping Workflows with Dell Pro Max and NVIDIA RTX PRO GPUs
Episode Title: How AI Is Shaping the Future of XR Workflows
Host: Logan Lawler
Guest: Belgium Kaggler, Product Marketing Lead for XR at NVIDIA
Date: January 1, 2026
Episode Overview
This episode explores how Artificial Intelligence (AI) and Extended Reality (XR) are converging to revolutionize enterprise workflows. Host Logan Lawler invites Belgium Kaggler from NVIDIA to discuss everything from XR fundamentals and real-world applications to the critical hardware and software powering the next generation of immersive experiences—highlighting the impact of Dell Pro Max workstations and NVIDIA RTX Pro GPUs.
Key Discussion Points & Insights
1. Understanding XR: Definitions and Evolution
- XR (Extended Reality): An umbrella term covering Virtual Reality (VR), Augmented Reality (AR), Mixed Reality (MR), and Spatial Computing.
- Belgium’s definitions:
- VR: Full immersion in a digital environment, separated from physical reality.
- AR: Digital overlays on the physical environment.
- MR: Blend of real and virtual objects interacting seamlessly.
- Spatial Computing: Uses algorithms to interpret/respond to the physical world, enabling context-aware XR.
- Quote:
- “Extended reality is an umbrella term that represents immersive technologies that blend both physical and digital worlds ... environments that range from fully simulated worlds to enhanced versions of real surroundings.”
(Belgium, 02:14)
- “Extended reality is an umbrella term that represents immersive technologies that blend both physical and digital worlds ... environments that range from fully simulated worlds to enhanced versions of real surroundings.”
Notable Moment
- Host’s relatable MR example: using AR to preview a couch in his living room. (04:58)
2. The Building Blocks of Enterprise XR
- Core Requirements:
- Powerful GPUs & Hardware: Enterprise grade XR requires advanced compute (e.g. Dell Pro Max + NVIDIA RTX Pro GPUs) for photorealistic, immersive experiences that can trick the brain.
- Specialized Software: Industry-specific applications for design, simulation, training.
- AI Integration: Inference microservices (like NVIDIA NIMs), intelligent assistants, natural language interactions.
- Collaboration Tools: Multi-user streaming solutions (e.g. NVIDIA Cloud XR) for remote, cable-free joint sessions.
- Quote:
- “It's all about providing the high fidelity and photorealistic experiences ... and it requires incredible powerful GPUs ... But on the other side one, another important piece of the puzzle is a specialized software for specific industry workflows ... another critical aspect in enterprise grade XR setting is also collaboration.”
(Belgium, 05:58–08:17)
- “It's all about providing the high fidelity and photorealistic experiences ... and it requires incredible powerful GPUs ... But on the other side one, another important piece of the puzzle is a specialized software for specific industry workflows ... another critical aspect in enterprise grade XR setting is also collaboration.”
3. The Shift from Tethered to Collaborative, Untethered XR
- Trend: Movement away from singular, tethered headset usage towards collaborative, multi-user, streaming, and cloud-based XR workflows.
- Example: Automotive design reviews where designers worldwide can simultaneously interact with virtual prototypes.
- Quote:
- “For automotive designers, it is very important to have the design reviews with your colleagues within the same virtual environment … streaming solutions that support like multiple users ... are critical.”
(Belgium, 09:27–10:10)
- “For automotive designers, it is very important to have the design reviews with your colleagues within the same virtual environment … streaming solutions that support like multiple users ... are critical.”
4. Real-World XR Workflows
a. Automotive Design
- Before: Building expensive clay models for design reviews—slow, costly iteration.
- Now:
- VR simulations of full car prototypes.
- Real-time material & lighting evaluation.
- Use of stable diffusion models and AI to instantly adjust scenes, environments, and lighting.
- Quote:
- “Instead of building a super expensive physical clay model ... designers are using VR to simulate car prototypes and they test materials and they evaluate the lighting conditions in photorealistic detail ... you can just tweak the model in VR and review it with your colleagues immediately.”
(Belgium, 10:39–11:34)
- “Instead of building a super expensive physical clay model ... designers are using VR to simulate car prototypes and they test materials and they evaluate the lighting conditions in photorealistic detail ... you can just tweak the model in VR and review it with your colleagues immediately.”
b. Healthcare Training & Surgical Planning
- Workflow: Surgeons convert MRI/CT scans into virtual 3D models to practice complex procedures; medical students train in XR for real surgical skills in a risk-free space.
- Quote:
- “Surgeons for example, can take a patient's MRI or CT scans and they transform this into a highly detailed 3D model which allow them to practice super complex procedures in a virtual space.”
(Belgium, 13:30)
- “Surgeons for example, can take a patient's MRI or CT scans and they transform this into a highly detailed 3D model which allow them to practice super complex procedures in a virtual space.”
5. Hardware Deep-Dive: NVIDIA RTX Pro 6000 (Blackwell) & Dell Pro Max
a. Why This Hardware Matters for XR
- Key Features:
- 96GB memory, 4000 AI TOPS; enables massive scenes, simultaneous LLM/AI & XR processing.
- Up to 80% faster rendering than previous gen (VRED benchmarked).
- Dual GPU Support: Assigning a GPU per eye for unprecedented rendering performance and immersion (VR SLI over PCIe Gen 5).
- Real-time ray tracing demonstrations at automotive events.
- Quote:
- “The combination of 96 gigabyte of memory and 4000 AI tops enables users to run massive scenes and LLMs in parallel to the XR workloads ... offers up to 80% faster rendering ... [and] enables the dual GPU support ... dedicate one GPU per eye for enormous power.”
(Belgium, 16:38–18:07)
- “The combination of 96 gigabyte of memory and 4000 AI tops enables users to run massive scenes and LLMs in parallel to the XR workloads ... offers up to 80% faster rendering ... [and] enables the dual GPU support ... dedicate one GPU per eye for enormous power.”
b. The Importance of Frame Buffer
- Explanation:
- Large frame buffer is vital for concurrently running AI and XR; as AI becomes central to XR, more memory allows integration without performance hits.
- Quote:
- “The large frame buffer here is important because then it gives you the ability to run AI and XR at the same time ... with RTX Pro 6000 we offer 96GB of memory with 4000 AI tops, which is an amazing performance.”
(Belgium, 19:56)
- “The large frame buffer here is important because then it gives you the ability to run AI and XR at the same time ... with RTX Pro 6000 we offer 96GB of memory with 4000 AI tops, which is an amazing performance.”
6. The Future of XR in Enterprise
a. AI for XR, XR for AI—The Two-Way Street
- AI as the New User Experience (UX):
- Voice-based, conversational engagement replaces traditional control schemes; intelligent assistants guide users through workflows.
- NVIDIA NIMs: Real-time inference microservices.
- Real-time anomaly detection and guidance via wearable AR, e.g. for assembly lines.
- AI enables lightweight AR glasses and context-awareness.
- XR as a Training Ground for AI:
- XR used for imitation learning and robotics—simulate risky or complex tasks safely.
- Quote:
- “AI is becoming the UX for XR ... it's enable conversational interaction within XR ... XR allows to teach the robots for the complex operations through imitation learning ... the most important trend that I see [is] AI in my opinion.”
(Belgium, 21:28–24:22)
- “AI is becoming the UX for XR ... it's enable conversational interaction within XR ... XR allows to teach the robots for the complex operations through imitation learning ... the most important trend that I see [is] AI in my opinion.”
b. Practical Example—LEGO/Dell World:
- At Dell World, an AI-powered MR experience taught users to build a LEGO Dell AI Factory model, guiding steps and recognizing pieces via computer vision.
- Host’s anecdote: “... sometimes I just put together some lawn furniture and ... the instructions were terrible ... I would have much rather had an XR experience that would have guided me through it.”
(Logan, 25:12)
7. Closing Takeaways (Recap by Belgium Kaggler)
- XR is evolving beyond visual immersion, entering a true spatial computing era.
- Convergence of AI and XR is making intelligent, natural, efficient immersive applications a reality.
- To deliver these experiences, cutting-edge hardware—Dell Pro Max and NVIDIA RTX Pro—enables high-fidelity, collaborative, AI-driven capabilities.
- Quote:
- “XR is evolving beyond just immersion into a truly special computing paradigm... The convergence of AI and XR... is coming into today's reality... And finally... powerful hardware like Nvidia RTX Pro combined with Adele Pro Max workstations is enabling a high fidelity, collaborative and AI driven experience.”
(Belgium, 26:59)
- “XR is evolving beyond just immersion into a truly special computing paradigm... The convergence of AI and XR... is coming into today's reality... And finally... powerful hardware like Nvidia RTX Pro combined with Adele Pro Max workstations is enabling a high fidelity, collaborative and AI driven experience.”
Memorable Quotes & Moments (with Timestamps)
- Definition of XR & Its Breadth (02:14):
- “Extended reality is an umbrella term that represents immersive technologies that blend both physical and digital worlds ... environments that range from fully simulated worlds to enhanced versions of real surroundings.” — Belgium
- Real-Time Collaboration in Design (09:27):
- “It is very important to have design reviews with your colleagues within the same virtual environment ... streaming solutions that support like multiple users ... are critical.” — Belgium
- Hardware as an Enabler (16:38):
- “The combination of 96 gigabyte of memory and 4000 AI tops enables users to run massive scenes and LLMs in parallel ... dual GPU support ... provides enormous power for running high fidelity XR experiences.” — Belgium
- AI as the UX for XR (21:28):
- “AI is becoming the UX for XR and the way it changes the way we engage with the digital worlds with our voice ... It's enable conversational interaction within XR.” — Belgium
- AI and XR’s Symbiotic Relationship (25:50):
- “I love how it's a two-way street. Like, you know, AI is kind of the UX for XR and XR is training AI and it's like this cyclical thing. I love it.” — Logan
Important Resources & Where to Learn More
- NVIDIA XR Developer Page: NVIDIA.com/developer/XR
- Find Belgium Kaggler on LinkedIn: beljinjakagglorixer
Episode Flow and Segment Timestamps
| Segment | Content Focus | Timestamp | |---------|--------------------------------------------------------|-----------| | 1 | Intro, Guest Bio, Overview of XR Terms | 00:05–03:30| | 2 | XR Hardware/Software Requirements | 05:58–08:52| | 3 | From Tethered to Collaborative XR | 09:27–10:10| | 4 | Automotive and Healthcare Use Cases |10:39–14:51| | 5 | Why NVIDIA RTX Pro & Dell Pro Max Matter for XR |16:38–20:42| | 6 | The Critical Importance of Frame Buffer |19:56–20:42| | 7 | Predictions about Enterprise XR & AI |21:28–25:50| | 8 | Host’s LEGO/Real-World Anecdotes about XR Guidance |25:50–26:33| | 9 | Guest Recap & Final Takeaways |26:59–28:56| | 10 | Where to Learn More/Farewells |28:56–29:30|
Tone & Style
- The conversation is insightful, energetic, and practical—targeted at professionals curious about the future of XR, not just the technology but enterprise impact.
- Belgium is enthusiastic and articulate, balancing technical clarity with real-world relevance.
- Logan keeps the discussion approachable, adding relatable anecdotes and probing for real-life examples.
Summary:
This episode offers a compelling look at how AI and XR are merging to create smarter, more immersive, and highly collaborative enterprise workflows. With actionable technical insights and tangible real-world applications, Belgium and Logan demystify both the hardware and the future potential of AI-driven XR across industries—from automotive prototyping to surgical training. If you want to understand where immersive technology is heading and what’s needed to power it, this is a must-listen episode.