Dell’s presence at GTC 2026 basically placed them closer to Team Green as their upcoming releases tighten their entire AI ecosystem with NVIDIA in an effort to help companies stop experimenting with AI and actually get real results out of it.
Despite a lot of companies already having massive amounts of data, it’s messy, siloed, and not usable for AI. That’s where the Dell AI Data Platform with NVIDIA comes in, essentially automating the whole pipeline from discovering and cleaning data all the way to turning it into something AI models can actually use. And they’re not just talking small gains either, with claims like up to 12x faster vector indexing, 3x faster data processing, and significantly quicker response times when running AI workloads. The business aspect is also one of the heavy aspects, as Dell mentioned that its early adopters are seeing up to 2.6x ROI within the first year.
Aside from software and platforms, Dell is also investing harder into hardware with new PowerEdge servers such as the XE9812 built for massive training and inference workloads, along with liquid-cooled systems and high-bandwidth networking designed to keep up with modern AI demands.
Meanwhile, developers can look at the Dell Pro Max GB300, which is the first commercial product to ship NVIDIA GB300 Grace Blackwell Ultra Desktop Superchip into a desktop form factor, offering up to 20 petaFLOPS of AI performance and 748GB of memory right at your desk.
All of these tie directly to the rise of agentic AI technology that runs continuously, handles complex workflows, and even spawns sub-agents to complete tasks. With support for NVIDIA NemoClaw and OpenShell, developers can now build and run these agents locally in a secure, sandboxed environment, which solves a big issue around data privacy and control. Instead of relying on cloud-based AI, enterprises can keep everything on-prem and still run advanced models at scale.
As one of the closest partners of NVIDIA, Dell is essentially refining its lineup to give enterprises a complete, end-to-end AI stack.
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