Didier Lasserre : Yes. So there’s two areas that we’re focusing the SaaS on, fast vector search and SAR. And as I mentioned in my comments earlier, the SAR was after discussions with one of the folks that we’re talking to in that area. So we have an on-prem solution, which for some of their customers, is needed. And then obviously, one of the guys we’re talking to you wants to put this capability on the satellite. So that would be a physical sale as well. But right now, most of their production they’re doing is via SaaS over AWS using GPU instances. And so that’s when we — after discussing with them, that’s something that we looked at. And so that obviously makes sense for us to do. So we’re opening up the SAR for that. The fast vector search we’ve been putting in place, we’re still doing some benchmarking internally for some of the factor search and databases, guys like v8. And so that’s an ongoing project for us.
Orin Hirschman : In terms of trying to get that fast factor searches a plug-in so that customers could actually play with it through AWS or something like that. Any progress there?
Didier Lasserre : There is — I’m trying to understand what I can see there. So we’ve had some discussions recently with a very large data center company to basically integrate easier into their system right now. And so those discussions have been happening over the last couple of weeks. And then certainly, once those get worked out, then we’ll be able to have a smoother offering right now. Because as you know, right now, it’s — we’re basically — they’re offloading the searches off to our data center that we have put into a facility called CoreSite. And so we’re trying to streamline that offering.
Operator: [Operator Instructions] Our next question comes from the line Luke Benett, an investor.
Unidentified Analyst: To zoom out from parsing applications and the prospects for various partnerships, could we assume that when Gemini-I hits the scene and you all are able to offer that to be tooled by various users, will that outperform a large swath of the current high-performance computer offerings that are on the market, including the leaders of NVIDIA, AMD, Samsung, even Google, custom chips. Is that safe to say?
Didier Lasserre : So — okay, so I’m trying to follow your question here. So first of all, we do have Gemini-I already. So I’m assuming you were referring to Gemini-II.
Orin Hirschman : Gemini-II, correct. Yes.
Didier Lasserre : Yes. And so Gemini-II, and then you also mentioned a custom chip. So Gemini-II is not a custom chip. So Gemini-II is going to be a standard offering that we’re going to have. And so yes, obviously, we’ve done some calculated benchmarkings, which have looked very favorable. And once we have the chip in hand, as Lee-Lean said, we’ll have it in hand early next year, and it’s probably going to take at least the spend to really get something we can do benchmarking. So it will be around summertime before we can do true benchmarking. But yes, we anticipate them to be very favorable over what we have and what’s in the market space. Now — but I do want to add to the comment, you said custom chip. So one of the things — and we’ve mentioned this in the past, that we’re also looking to do is obviously offer IP sales as well, because we do understand we have a unique technology.
But we also understand that certainly, we’ll start with the hyperscalers. They do a lot of their own custom silicon. And so one of the conversations that we’re having with the hyperscalers besides talking about Gemini-III for the GenAI is we’re also talking about IP sales as well for any custom basis that they’re doing on their own. So you asked a lot of questions in there. I’m hoping I hit all the topics.
