Gene Sheridan: Yeah. I know it’s not a name people would know, but they’re actually a major onboard charter supplier to top players like Hyundai, BYD, Honda and many others. So for us, it’s a super exciting way to kind of get access into those cars in the future. The first projects here will actually be silicon carbide for onboard chargers, and we — I do believe it’s going to be their first implementation of silicon carbide certainly with us. And those are already underway expected to launch early next year.
Kevin Cassidy: Okay. Great. Thanks.
Gene Sheridan: Yeah. Thanks, Kevin.
Operator: The next question comes from the line of Joe Moore from Morgan Stanley. Please go ahead.
Joe Moore: Great. Thank you. I know at CES and at recent conferences, you had talked a lot about the specific opportunities in data center around AI servers and just given the very high power on those servers that there should be opportunity for GaN there. Can you just talk about that specifically with AI when you could start to see that be a more material revenue contributor?
Gene Sheridan: Yes. It’s a big one. And I think we’re still at the tip of the iceberg here. We’ve got 20 projects in development. They’re all going to production throughout this year. I estimated $3 million to $5 million revenue impact for the second half of the year. We’ve had meetings with a lot of the AI guys and the numbers, the power requirements, the current requirements keep going up and up over the next one, two, three years. I mentioned in my remarks, a 1,000 to 2,000 amps per processor. So I think this ripple effect on how the power has to get delivered is still really being worked out by the industry and the numbers keep going up in our system design centers designing things that we never thought was possible a year ago, 4.5 kilowatts is unprecedented in a specific form factor that’s going to power all those processors and now they’re pushing us to go to 5.5, 6.5 even higher.
So — and I think this is all about the data center today, but ultimately, these AI chips end up in driving — self-driving cars. These AI chips end up in the client and on the edge computing. So I think it’s early days, and it’s exciting because the power requirements are really unheard of, and that’s exactly the kind of challenge we want to tackle with our system design center and with our gallium nitride and our silicon carbide.
Joe Moore: Thank you.
Gene Sheridan: Thanks, Joe.
Operator: [Operator Instructions] As there are no further questions, I would like to thank our speakers for today’s presentation, and thank you all for joining us. This now concludes today’s conference. You may now disconnect.
