Varun Chhabra

"Dell is now offering, working with NVIDIA, fully managed capabilities. So fully managed services for the AI Factory with NVIDIA. So for customers, John, you're talking about, 'How do I scale? How do I make sure we're getting the right SLA? How do I think about planning around token counts, et cetera?' For our customers that want basically Dell and NVIDIA to work on their behalf and manage that infrastructure for them, that capability is available as well now for the first time."

"we're basically introducing a Dell managed version of the offer. So this, we believe will be a cornerstone for AI-driven workloads on Azure, bringing that managed capability and managed advanced file services."

"you've got to do a lot of work upfront. As Jeff was talking about today on the keynote, you got to think through what your use cases are because if you don't sort through that and get alignment across all your stakeholders, there's going to be roadblocks down the line."

"what we find, and I'm sure Rob, you see this as well for enterprise is a big roadblock comes before the technology. It's around optimizing or aligning strategy internally with different stakeholders, all of whom have different agendas and priorities. How do you think through what could be... In some cases, like hundreds of use cases, potential use cases, how do you pick the ones that are going to deliver the fastest value?"

"even for the use cases that we've rolled out at Dell, we've got thousands. We're one of the largest companies in the world. You would be surprised at how you can start pretty small and scale pretty easily. It doesn't take that much . if you're not training models and doing inferencing at massive scale, you can actually get a lot done with a surprising small amount."

"Thinking through what you can deploy on a device versus in the cloud, et cetera. All of those are... The innovation in the space is so fast, Rob, as you know that what we're getting asked for most often is help and guidance based on our experience of deploying so many of these AI applications across different industries and different geos."