Yes, Pinjalim, so thanks for the question. It's still early days for GPT-in-a-Box. Actually, we've seen good inbound interest from customers, as well as prospective ecosystem partners. Now, we did land that first win for GPT-in-a-Box. It is a federal agency. And the use cases are along the lines of what we've talked about. A lot of use cases have to do with document, search, document retrieval that we were looking for patterns, looking for potential criminal activity, et cetera, right? And that's along the line for what this particular agency was looking to do. Now, from an offering perspective, it's still very early days for us. It's still early to really comment on when it's going to be a meaningful contribution to our numbers, at this point. And so that's what I can say about GPT now. Perhaps it might be worth recapping a little bit on a broader basis of how we see this market for us, if that makes sense. So for us, I look at AI, I've sort of said this at our Investor Day, but there's three parts to it, first is landing new applications. Lots of companies looking at new applications like this particular customer and many others. Lining that on our platform. And there, again, I think AI applications are going run around where the data is. And some of the data will be in the public cloud, but others are going to be sensitive. They're going to be in the private cloud in secure locations, for example. And for those types of situations, we can help with our GPT-in-a-Box platform to provide a turnkey solution for them to both fine tune and train model from their specific data, as well as do inferencing. That's the first piece in terms of landing new applications. The second is, of course, about making our own products better. And we do, for example, a lot of telemetry that we gather from customers and we can use back-end AI to analyze that, get insight. We have a product around operations management. In fact, that product we call AI Operations. And so again, there's a lot of AI behind it to make the operating environment and optimize the operating environment such as capacity planning, et cetera. So that's the second vector. And the third vector is really using it internally itself to make things more efficient and run us more -- automate more processes inside the Company. We are starting that out, for example, with customer service on our end. So that's a broader picture. Still early days for us with gen AI. But again, lots of interest, and we'll continue to engage.