 Hello, guys. Good morning. Thank you very much for coming to the Kubernetes AI and HPC day. And my name is Eudray from Bloomberg, and my friend Ricardo from CERN will co-chair in this event today for you, and thanks for joining. And also, by the way, if you are a speaker, please come to sit in the front row so it will be easier throughout the day. If you're a speaker, please sit in the front row. There are plenty of seats here. I'd like to talk about the code of conduct today. So the golden rule, treat others as you want to be treated, so with kindness and respect. And there will be refreshment and lunch. The refreshment snacks and lunch will be picked up in W194 or W196 for you outside of the session room. And for those of you who need captioning and translations, there's a QR code you can scan, and it's AI-generated captions and translations. And also, we are opening call for papers for next year's Coupe Count Europe. So next year's Coupe Count Europe will be hosted in Paris on March 19, and the call for paper is already open. And it will close at December 3rd, someday. So submit your proposal now. So Kubernetes AI and HPC Day is an event that focuses on processing data, creates insight, and how it makes the world a better place. And then I'm going to hand over to Ricardo to talk about call for paper categories. Thank you. So welcome, everyone. I think this is at least the fifth or sixth event in HPC and AI area, and we joined forces this time. So the CFP was a bit different than usual because it includes things like best practices for processing massive amounts of data, use cases for batch workloads, but then also MLops and Phenops for ML. Some topics are obviously common to the two, so that's the reasoning for joining it this time. Things like GPU and hardware device management. So we got a really nice set of submissions. So for the next event, make sure you keep it up, and we'll have an interesting event here. So I just took just the titles of the sessions. So we have 11 full sessions and six lighting talks today. If we look at it, of course, Kubernetes is referenced quite often. But then we have things like some tools like Kubeflow and similar. But the topics of interest of everyone is things like training, batch. Of course, scheduling is very important. And advanced scheduling and all the new features and tools that have been developed in the last couple of years. And then the more recent trends like LLMs. So we have a bit of everything today. Hopefully it will fit all your interests. A quick reminder that there's, in addition to these events, there are existing communities where these topics are discussed often. So the three last ones, the three bottom ones, have been there for a while. So the batch working group on Kubernetes and the batch system initiative in the CNCF, which kind of hosts and gathers all the projects in this area. And then for the more scientific computing or research computing community, the CNCF research is a group. There's also two interesting discussions, and everyone's feedback is very welcome on creating. So there's a cloud native AI working group discussion. And there's a proposal to create a new technical advisory group in the CNCF technical committee. So if you want to learn more of what this is about, get involved or give your opinion, please join the discussion there. So there's a growing list of projects in this area. This is not an exhaustive list, just a reference so that we know what you're talking about. So there's projects that are more related to batch and scheduling like Armada, Q volcano, Armada unicorn that have been there for a while. And then there's projects more dedicated to AI and ML. So Kubeflow just joined as incubating project this year. K-Serve is actually not in the CNCF right now, but it's in the LFAI. And there are projects in the Sandbox that start targeting more niche areas of AI and ML like KITS GPT, which is currently in Sandbox, but got a lot of traction. So if you're interested, go and if you want to join the communities and help out either giving feedback or contributing, you're very welcome, of course. Another thing discussing with the user preparing this event, we were thinking of... Today we'll hear a lot about what people are doing and we will get references of what the challenges are, but maybe this is also a good event to connect to each other. And during the lunch breaks and coffee breaks, maybe we can discuss what are the open areas where there are gaps in the projects and the stack that we have available. And so that we can start discussing and guide the community to work on those areas. We came up with things like multi-cluster scheduling, which is more for the batch HPC community, but also for ML. Model monitoring, feature stores, responsible AI, it's a big topic, especially for governments and policy, and then LLM integration. So if you end up in someone's table, I think these are nice topics to cover. And finally, we'd like to thank the program committee. So there's a team of people reviewing all the sessions. Thanks a lot for all the work. And like we never referenced this, but there's a very large Linux Foundation event staff that also we have to thank for the organization. And I think that's it for the introduction. So we hope you have a great day. We'll go immediately to the first talk. Thanks a lot.