Navigating the NVIDIA Software Stack: From vGPU to Enterprise AI

In this fourth episode of AI in Action, hosted by TD SYNNEX in conjunction with NVIDIA, we shift our focus from the physical hardware to the powerful software layer that makes modern AI possible. Join host Ben, along with experts Michael Gern and Jake Fielden, as they demystify the NVIDIA enterprise software ecosystem.

The conversation breaks down how organisations can effectively partition and provision their GPU resources—whether for professional CAD designers, office workers, or intensive AI workloads, using technologies like vGPU and Multi-Instance GPU (MIG). Michael also highlights the "best-kept secret" of NVIDIA software licensing and how developers can access the full toolkit for free to start building today.

Key topics covered in this episode include:

• The Transition to NVIDIA Enterprise: Understanding the rebranding of NVIDIA’s curated software suite and the importance of enterprise-grade support for open-source tools.
• Optimized Models & NIMs: How to utilize NVIDIA Inference Microservices (NIMs) to deploy pre-trained, high-quality models for vision and language tasks without starting from scratch.
• The Ecosystem Advantage: How TD SYNNEX's Destination AI program and ISV partners help bridge the skills gap for companies without in-house data scientists.
• Practical Sizing & Testing: Tips for right-sizing your AI environment and how to access TD SYNNEX AI labs or cloud resources to test your models before you buy.

Whether you are a developer looking for the right tools or a business leader trying to understand the ROI of your hardware investment, this episode provides a clear roadmap for the software stack.