NVIDIA used CES 2026 to reinforce its position at the center of the AI ecosystem, unveiling new technologies that span hardware, software, and robotics. In this episode of Utilizing AI, Stephen Foskett, Brad Shimmin, and Nick Patience unpack what NVIDIA announced and why it matters beyond the show floor.
The discussion begins with Helios and NVIDIA’s latest embedded processors, which highlight the company’s push to extend AI beyond data centers into edge devices, industrial systems, and robotics platforms. These technologies underscore how AI performance is increasingly tied to specialized silicon designed for real-world workloads.
The panel also examines NVIDIA’s growing focus on robotics, including Alpa Mayo and its specialized training frameworks. This signals a deeper investment in embodied AI, where intelligence is tightly integrated with physical systems rather than confined to cloud-based models.
Beyond NVIDIA, the conversation touches on Dell’s XPS comeback, reflecting renewed interest in high-performance AI-capable PCs. This trend points to a future where AI workloads are distributed across devices rather than centralized entirely in hyperscale environments.
The episode closes with analysis of NVIDIA’s acquisition of Grok and what it reveals about the industry’s shift toward inference. As AI matures, the emphasis is moving away from training ever-larger models and toward deploying efficient, scalable inference at the edge and across enterprise environments.
Together, these developments paint a clear picture of where AI is headed next: distributed, inference-driven, and deeply embedded in hardware, software, and physical systems.