 All right, I think we can start. So welcome everyone to the second batch and HPC day. Thanks for coming. We'll have a packed day. So I'll just do a quick introduction and then we go directly into the talks. The first thing is to thank our diamond sponsor, the Oracle Cloud Infrastructure, so thanks a lot. Then just a quick, quick reminder. So this is the second time we organize this HPC and batch day. The goal of the first one was to have an event that would kind of bridge the traditional HPC world that has its own conferences and its own communities and then the cloud native worlds. And to have any, there was an event missing that would kind of bridge the two worlds. So we had the first one back in Valencia, CokeCon earlier this year. It was quite successful. So we had in person, we had over 40 people and almost 200 on the live stream. And I just put here some stats that we got from the event that are also quite interesting to have an idea of what we are facing. So if you look at the job function, you can see that half of the people are either developers or kind of dev ops, is that mean people. But there's then the rest kind of splits on different roles in the organizations. So I guess people are feeling what's possible in using cloud native for HPC and batch. And the event was very successful. So we decided to continue. And this time instead of a half day that we had in Valencia, we have a full day here in Detroit. So welcome, you're in the right place. We start now, we go until five. I remind everyone that we have the networking reception at five PM as well. So don't miss that. And then for the agenda, we have one keynote. Then we'll have eight full sessions and we'll have four lightning talks. This was some of the feedback we got from the first event as well that people wanted more of lightning talks as well. And thanks everyone for sending the submissions. It was interesting to go through them and do the selection. So very briefly, who are we? So there might be exceptions, but I think we all have kind of common interests that we all run some sort of high performance or high throughput workloads, running batch workloads as well and doing some sort of AI ML kind of workloads as well. And the specificity of this event is that we basically all are interested or already running a cloud native based infrastructure, meeting Kubernetes and all the tools around it. And we are all looking for the best way to build on the tooling coming from the cloud native community to kind of simplify the deployments we have for HPC and Batch. There are a couple of groups that we meet. So if you're new to this community, there's a couple of places that you can look at. The first one I would highlight is the kind of less newly but still newly formed batch working group in Kubernetes. And that's where basically the focus is on expanding the support in Kubernetes to Batch and HPC. And this is things like Job API and the scheduler. There's also the CNCF Batch System Initiative proposal. It's not a proposal anymore. So if you go to the link there in the QR code, you will actually see that it's a newly formed batch working group inside the CNCF. And this is kind of complementary to the Kubernetes Batch working group in the sense that it aggregates the efforts from different projects in the CNCF that are not necessarily the core Kubernetes but that have been developed over the last few years extending the functionality to support HPC and Batch. And then the final one I would highlight is the research user group. This is a group that is focused on research workloads that was formed as an idea back in Kupkan, Barcelona, and it has been running for a few years. And there you will see Batch as a topic, HPC as well, but you will see other things like how do I run notebooks properly using Kubernetes or how do I run engineering applications and optimizations? So there's kind of more broad scope but still in context with the topic today. So the challenges that we all face, the Kubernetes Batch API, the initial design was focusing on particular workloads. There are ideas on how to enhance and extend this functionality to support the things we need. The primitives for advanced queuing and fair share. So this is not something that exists necessarily in the Kubernetes scheduler. Tools have been extending that to support this functionality, code scheduling and similar. But there's an interest to have this built in to the core scheduler as well. Then a topic that is maybe not in any of the groups before but it's very close to this kind of problem as well which is support for multicluster deployments and hybrid deployment. So you might have a large on-premises infrastructure but you want to burst out to public cloud in some cases or access to accelerators, things like this. Rootless containers, if you run an HPC center this is kind of a big thing. So this is also on topic. And then all sorts of optimizations of the workload submission but also of the workload execution on the nodes. And then I mentioned before specialized hardware and then the overall idea is that to try to reduce or avoid somehow fragmentation of this functionality across multiple tools and where it makes sense to kind of consolidate in a single place. So these are all the challenges that we focused on the last few years and we are now have a kind of a place to discuss and push it forward. So for today, again, if you look at the agenda you will see quite a lot of focus on batch workloads for this kind of activities I mentioned. The other main goal is to bring together community experts and this is the people working on the tools but also the end users that have feedback on what they actually need. So this is one of the main things. So please, please make the best of this event. And then the overall goal is to somehow make sure that we do the best we can to turn Kubernetes and cloud native deployments as the best tool for batch and HPC. The topics on the talks will have programming paradigms in batch and HPC, covering scheduling and optimization, hybrid deployments I mentioned earlier and then user reports and a lot of discussion. So we'll be packed and hopefully a lot of discussion as well. So thank you again for sponsoring Oracle Cloud Infrastructure and that's all I have. And we can go straight to our first talk from Oracle.