 All right, why don't you tell us a little bit about what you're doing with OpenStack and about your company? Yeah, so I'm Greg Hedgepat with Panterx, and we're using OpenStack as an orchestration layer to allow us to control instances of our video optimization software. So what we're doing is we're combining two forces here to help us deal with the scale and the complexity and the possibilities of video optimization, and specifically transcode. So one of the challenges we have is just the sheer scaling and CV requirements. So Intel has offered the Core i7 processors with the integrated graphics GPU. And so we're leveraging the GPU as we can see here to do nine simultaneous high definition transcode sessions on a single socket. To put that in comparison on an eight core Xeon chip, we can do two of those simultaneous. So having the GPU makes a big difference there? Oh, doing it on silicon and the GPU makes all the difference in terms of performance, power utilization, and cost. So our partner, Comtron, with our SimCloud platform, made this two RU designed to pack 18 of those Core i7 processors in it. 18 Core i7s in 2U? In 2U. Wow, that's amazing. Yeah. So what we're doing as well is because the GPU, we need to direct access to the bare metal. So this is where OpenStack really comes in to help us out. And to really point out that cloud control and cloud management with OpenStack does not necessarily need to mean virtualization through a hypervisor. So we're able to use OpenStack to control and spin up instances on bare metal. So that's what this is right here, is the OpenStack dashboard for control. And the idea here is this is going to allow us to scale in response to utilization of GPU, network conditions, and various environmental factors that can feed into this and then scale elastically to spin up and spin down additional instances. What types of customers are using your solution? Who are you really selling it to? So we sell primarily to mobile operators. Okay. So the crush of video consumption of all of the mobile devices, both the smartphones, tablets, and laptops with dongles and Wi-Fi hotspots, those are having a large impact on the mobile operators network. So what we're doing is we're putting our platform into their network to optimize that video for the right size screen, the device capabilities, as well as reacting to network conditions. Studies have found, and I'm definitely agreeing with this one, consumers are more willing to put up with a slightly less resolution, a slight less quality versus stalling in modeling. So we can go ahead and detect network conditions, reaching that threshold, and then transcode and optimize the video that would be supported by the network. Great. And behind the scenes, I guess OpenStack's helping you power all that. So that's great. Thank you very much for sharing a few minutes with us here at Structure.