Good morning, everyone. Um, my name is Sebastian Bérubé. I'm a storage specialist here at AWS. And, uh, thank you all for joining us for this session on Supercharge Your PLM Workload in the cloud with Amazon FSX for NetApp Ontap. I am joined today by two distinguished gentlemen. Uh, Mr. Jesse Bieber, uh, is a senior solutions architect here at AWS for our automotive and manufacturing division. Uh, Jesse also specializes in, uh, storage services. And I'm also joined by, uh, Tillmann Schroeder, who is, uh, the field CTO for automotive,and manufacturing at NetApp. Uh, while we're going through the session, uh, if you have questions for our presenter, please drop them in the chat. I will interrupt them, uh, with your question, uh, when it, uh, makes sense through the flow of the presentation. And also, uh, I will drop a couple of links, uh, throughout the, uh, the presentation as we're covering some of the material, and at the very end of the session, I will drop a survey link. Actually, I'll drop the survey link right now and put it back again in the chat at the end of thesession. Uh, we as you know, if you've been working with AWS for any amount of time, we love feedback. Uh, so if you would, wouldn't mind taking a few minutes to, uh, answer our survey link? Uh, we would greatly appreciate it. That being said, I will turn this over to our distinguished presenters. Gentlemen. Okay. Thanks for the introduction. I hope I'm audible. Echo. Right. Now. I think it's okay. Perfect. Okay. Welcome to today's session. Purpose of today's session is to show you how NetApp and AWS together can make product and engineering workloads more robust, more efficient, and also more cost effective on AWS. Um, such examples include product lifecycle management systems such as Siemens Teamcenter cut design tools or CAE simulation platforms. Since we currently see this massive shift of all those applications being moved to the cloud, especially to AWS, because of the promise of the cloud being more flexible and also the cloud economics attached to it. So many customers are currently considering moving exactly these kind of applications and workflows to the cloud. As you can see from the survey conducted, um, a while ago. Um, we can see that at least more than 80% of customers are considering moving their product and engineering workloads to the cloud. Just think about the agility the cloud brings in terms of faster GPU access or CPU access and paying as you go, uh, which makes especially simulation workloads and also PLM workloads a very good fit to move and migrate to the cloud. Eventually also benefiting from the innovative performance that AWS provides in terms of adding AI and AI Engineering services to this equation as well. Makes it very, um, yeah, reasonable to consider moving this kind of product and engineering workloads currently to the cloud. And the purpose of this session is to show you how we, together, NetApp and AWS, can actually help you with bringing these kind of mission critical applications to the cloud. So first of all, write something around our theory or our hypothesis. So we think that currently there's this shift going on in the automotive and manufacturing industry of modernizing these kind of applications for the new era in terms of having faster GPU access, but also using technology in inside of these stacks and how we do it basically together with AWS, since a lot of these kind of data sets already reside on NetApp on premises, we provide a unified data layer together in order to truly provide hybrid cloud deployments for these kind of workloads. And yeah, so by migrating, modernizing and then transforming the overall stack. And NetApp as a storage provider is a great foundation. Yes. Um, okay. Diving a little bit into the overall value proposition for product and engineering workloads, um, this is kind of like the abstract value that we provide by incorporating us into the overall service architectures designs. So by using NetApp and AWS together, um, we actually can boost productivity of the engineers working on C or simulation platforms such as NX or Simcenter or Ansys. So we together conducted with AWS, uh, benchmarking, where we showed that we can reduce the overall simulation time by up to 30%, which has a massive impact on the productivity of the engineers working on those HPC or simulation platforms. Further on, we can significantly reduce the overall cloud costs by means of advanced tiering capabilities or storage efficiencies, and obviously make the overall architecture more robust and more protected. Um. By leveraging our SnapMirror technologies to provide high availability. And this is more kind of abstract right now, right? But we're going to dive deep into each of the three workloads now where we show you what's the exact value that we provide for each of those solutions, and also highlight a case study or customer study, um, in order to show you the true business impact of leveraging our technology for these kind of product and engineering workloads. And yeah, anything to add, Jesse? Or do you have any comments so far? Uh, just that I'm really appreciative for, uh, NetApp overall partnering with AWS, uh, work with NetApp week in and week out, um, supporting customers, uh, in the auto manufacturing space. Um, and even before that, um, in other areas that I worked at with AWS and customers. So, Tillman, appreciate you, um, partnering with me here, uh, and Seb, to give this enablement and, uh, I think, uh, we're just going to move into, uh, the AWS side of things, um, and really where we fit together from a partnership perspective. And then, as you said, talk about the three different workloads that are in scope today. So what you're seeing here on the screen is, uh, all the different storage services. Our primary storage services, um, that we have at AWS that uh, I talk about and Seb talks about, um, day in and day out. Right. Uh, and what we're focused on today is obviously the one that's got a green square around it, which is FSX for NetApp Ontap. Um, it is a fully managed storage service, uh, by AWS. Um, but we partnered with NetApp to bring their Ontap software stack that they have on their NetApp filers on prem into the cloud and just make it a very streamlined as like for like, um, type of setup for customers as possible. And it makes it very simple for customers to move workloads into the cloud this way. Um, and I'll get into that a little bit more as we continue to talk through this. So we're going to start with PLM. And to be fair, that's where I have the most experience. I've been supporting the auto manufacturing space now for, uh, I think it's about a year and a half. And, um, PLM wasnew to me as far as like a deep knowledge of it. But being able to engage with auto manufacturing customers, obviously it's,a workload that, uh, I've learned rapidly and, uh, I've supported across several different at scale customers. Um, so the challenge is that, uh, product lifecycle management workloads have are clearly listed here. Right. Um, everybody's looking to optimize cost. It doesn't matter what workload it is. Right. That's always going to be one that's, uh, listed there for all of us. Um, we always want to increase productivity. Obviously, we want to have, uh, business continuity and collaboration. So what does FSx or NetApp ONTAP bring? It solves all these problems. Um, we're really able to reduce a lot of cost. The reason I love FSX for NetApp Ontap so much. It's my most loved storage service outside of S3. To be fair, um, I joined AWS because of object storage and that is S3, but I missed Just having, um, a enterprise capable storage array to work on, per se, because that's the world that I came from as a customer. Um, managing storage infrastructure, um, at scale on prem. Um, when I joined the cloud, uh, you know, joined AWS and started working in the cloud, um, one of the first things that I started to, uh, test outside of S3 was this FSX for NetApp ONTAP. And to be fair, I had never worked on the ONTAP stack before. I'd always been with other storage array vendors, so I really got my, um, my feet wet with ONTAP. And when we talk about optimizing cost from a storage engineering perspective, um, anybody that's an on prem storage administrator or engineer knows that you want things like data tiering across your arrays, you know, using, um, lower cost disk, uh, as well as the ability to clone volumes for things for prod, dev test, um, and dedupe and compression. So, um, it's the those things that I just listed One of the main reasons why I love FSx for NetApp ONTAP so much, because when I'm talking to infrastructure teams that are new to the cloud or in a hybrid world, they're looking for all of those things, right? So all of those things help to optimize cost. Um, they also help in some other areas as well as we go through here. Um, but, uh, the increase of engineers productivity, uh, you know, shortening your time to market with high performance capabilities, the massive scale that we have, um, and the modernization that was talked about by Tilman when we were opening, um, all of that is available at AWS. And as we partner with, uh, NetApp, we're continuing to just make the ONTAP stack, uh, better as we update it for you automatically. Uh, from a managed services perspective, um, team collaboration, uh, it's much easier to collaborate with your teams when you've got a stack that, uh, allows multi-protocol,access NFS, snb, iSCSI, uh, and allows you to move data back and forth across the globe. And that's part of the Business Continuity, right? Um, we've got snapshots, disaster recovery solutions based off SnapMirror technology. Anybody that knows NetApp ONTAP knows that they're block level replication technology. Right? Um, and allows you to set up a DRM backup workflow very successfully. So all of these things are solved, um, when we're talking about, uh, PLM and the FSX for NetApp Ontap stack working for that workload, we've got, uh, several blogs out there on the AWS and NetApp side that speak to, uh, Siemens Teamcenter. It's officially certified, um, on AWS for FSX, for NetApp Ontap, um, and you can see a higher level architecture diagram over here that shows all the components inside an AWS region across different subnets. Um, and you can see at the far right, um, the,storage layer, um, for uh, Siemens, the,NAS footprint is FSx NetApp ONTAP. Uh, others PTC windchill. Right. Uh, as well as 3D, uh, from Dassault or other PLM stacks that I've worked closely with customers on. Um, at scale. And we always lead with utilizing FSX for NetApp, Ontap for the NAS layer of that PLM suite, and it's due to everything you're seeing on the left hand side here. Right. I'm not going to read down through those. Uh, clearly you've ingested this slide team, but um, again, I can't, uh, stop speaking. Uh, just praise for how well the partnership with NetApp and AWS has worked. And to be fair, FSx NetApp ONTAP is one of my most talked about services with customers probably at parity with S3. Andfor anybody that knows AWS life S3 is always talked about across the board with customers because it's a storage layer. It's the modern storage layer for web applications, right? So with that, I'm going to turn things over to, uh, back to Tillman and let's Tillman, I do want to give you a second. Do you have anything to add? Because I know you did a lot of work here on the PLM side with, uh, with Siemens Teamcenter specifically. Yeah. Just to add to this, right. One comment. So especially when it comes to migrating these kind of mission critical PLM, whether it's Siemens or Dassault, um, platforms to the cloud, oftentimes customers want to increase the overall performance, which means increase the data access times. Right? How long it takes to open up files. So want to have a very performant platform on the in the cloud in order to provision and make the engineers very productive. And while they also want to reduce cost, which we can achieve by tearing down the cold data blocks to lower capacity storage. So we have a good balance between performance while reducing and optimizing, um, the infrastructure costs. And this is kind of the value in a nutshell where we partner together, as you said, we are certified. And um, yeah, a very good product market fit. Uh, is FSX for NetApp Ontap for sure, for PLM deployments and customers. Okay. This brings us to our second workload after PLM. Uh, what comes with PLM is oftentimes the simulation platforms on top of it, right, to run computational fluid dynamics or FEM workloads. And uh, this also is heavily executed in the cloud as of now because you have, um, faster GPU access. You don't have long procurement cycles, right? For GPUs on premises. So you can just burst through the cloud in order to leverage, um, cloud resources more instantaneously. And also, since it's HPC jobs, you don't run it, uh, all the time. You can just spin it up whenever you run the jobs. So this makes it also a very good fit for the cloud overall. However, sometimes right within this workloads, you can also run into some kind of data management challenges, which often result in either time to run the simulations. Right. So the operational task and time that it takes, but also the data transfer within the simulation task, that takes time and that you want to optimize in order to avoid bottlenecks and accelerate the time to simulate. Right. Um, second, data management challenges is optimized costs right, reducing the overall infrastructure costs. And the third one is efficient engineering collaboration in the sense that you want to distribute the CAD files across distributed engineering teams worldwide, um, across different regions. And you want to have like all them working on these kind of HPC platforms. So these are currently the challenges that we see and how we by integrating into the overall service design with FSx for NetApp ONTAP, um, can create again, a well, architectured design that actually solves for these kind of challenges. Um, so yeah, exactly. If we move to the next slide. One core capability that we can offer is Multi-protocol capabilities within FSX for NetApp Ontap, meaning that we are able to actually create a shared file system for both users, like Linux users or windows clients. Right. And this comes in very handy for specific simulation workloads because oftentimes the engineers for the pre-processing, um, are for example, um or simulation itself running on HPC um solvers using Linux OS, while for example, for the post-processing, um, oftentimes the clients work on windows stations. So having ONTAP which provides multi-protocol capabilities, you can consolidate multiple file systems or file or storage system into one and serve for those different users. And um, actually, yeah, simplifies the overall management because yeah, it'syeah, easier to share the data between the different processes steps. And this is oftentimes used in the context of computational fluid dynamics or other HPC simulations that run on AWS and together by integrating FSX for NetApp Ontap into those abstracted HPC platforms, such as scale out Computing on AWS Parallelcluster or Research and Engineering Studio. Um, you can make the overall simulation workloads, um, more cost efficient and more performant. So one specific example, um, we basically, um, actually did some benchmarking together with AWS, and we measured that we can decrease the overall simulation time by 30%. Um, where we tested it together on the open source tool Openfoam. This was achieved based on the architecture diagram that you see here. So basically this is the scale out compute on AWS, um reference architecture and FSx. And the green icon is our FSX for NetApp Ontap services. And what we provided basically was in instead of synchronizing data back and forth to the HPC cluster by means of our data mover technology, we can directly feed the HPC cluster and also run the results back to the repository, because often running back the result data to the actual data repository oftentimes just takes in a 30 minute simulation or already six minutes. And this is the time that we actually reduce, um, achieving significant, um, time reductions and overall productivity overall, Enhancing the productivity of the engineers working on the platforms, because eventually they can run more simulations throughout the year, because now it just takes, for example, 24 minutes to actually simulate the task instead of 30 minutes before. And this is then also further in which, with our tiering capabilities, where we tear down the cold data that is not used and provide a very cost efficient while still performant, um, architecture for these kind of simulation workloads. Yeah. This is then just an example or case study, um, to,highlight. Um, so for example, Rivian is using exactly this technology, both the PLM, um, but also um, the CAE simulation platform by means of FSX for NetApp, Ontap and um, yeah, basically what was the challenge is basically what we described. They wanted to modernize their product and engineering platforms to be more agile and more innovative. Um, there they had some challenges in order to make it, um, yeah. Enterprise. Ready? And by integrating FSx n for NetApp ONTAP, they provide the necessary security aspects and data protection tier down the costs so they reduced actually the infrastructure spend from 4 million to 2 million. And further, they also accelerated the data access times for the different engineers to work on the platform. Eventually, they were able to use our Flexclone technology in order to provision dev test environments in just two minutes, which was a more manual process before and took around eight hours. So also like automating the overall process of, um, QA. Um, yeah. This is just one example how one customer is actually building on AWS and FSX for NetApp Ontap to modernize their product and engineering platforms and, um, accelerate the overall productivity of the engineers working on the platform. Thanks, Tillman. I do have something to add on this slide. Uh, I don't support Rivian.directly. Um, they're part of another globals group, but other auto manufacturing, um, customers, I use them as a reference and specifically have uh, for, uh, PLM, uh, at different places, specifically due to one of the things that you called out. Right. Um, the prod, uh, dev test refresh from eight hours totwo minutes with flex clones. Um, all of those storage, um, you know, enterprise storage features that I talked about at the beginning when I was going through things with FSX for NetApp Ontap that as a previous on prem, uh, storage engineer architect, I would want, um, they,come with FSX for NetApp Ontap. Right. Um, I had a customer specifically that was using the same PLM software that Rivian was that were that was doing a POC test on AWS, and they decided to spin up their own NAS servers on EC2, EBS, and they realized that they were having some a long length of time to do, uh, restores versus what they were with theirstorage arrays on prem. We moved them over to FSx for NetApp. ONTAP for the NAS layer, um, for the POC. They're super happy now. So, uh, again, just calling out that, uh, Rivian's paved the way, uh, for us here with FSX for NetApp once happened. Really appreciate them being a customer reference for us. And Tillman, I think it's back to you if you want to talk about, uh, genuine cloud bursting. Yeah, sure. So right,now we cover two specific workloads PLM and migrating to AWS and building mission critical PLM, um, apps on AWS. And second, the C simulation part. The third trend that we see for product and engineering workloads is the aspect of cloud bursting right on the infrastructure layer where it's about, um, right. So for JNI and simulation tasks, um, the GPUs, you want to get the data where the GPUs are. And here we have a unique feature called FlexCache embedded. Um, since we are a first party service within AWS, this can be like a gateway from your on premises storage device to AWS, where you can actually burst data to FSX for NetApp Ontap on AWS, and then leverage actually the GPUs or advanced CPUs that are available on AWS. This is done by a bidirectional relationship. So instead of synchronizing the whole volume, you can just synchronize the specific data set that you need to AWS to run the simulation and then have the result data just synced back. So the delta um, which also reduces overall egress cost. So setting you up really with a true hybrid cloud platform, um, in order to distribute your resources most efficiently across on premises and cloud environments. And very specifically, customers are using this scenario, for example, when they want to do some kind of collision testing and these kind of things where the data either resides on premises or in the cloud, um, depending on their strategy. And then they want to burst to the different locations in order to, um, yeah, in order to either, um, reduce latency to the distributed engineers or benefit from Cloud GPU resources. So yeah, caching mechanisms by means of FSx for NetApp, ONTAP and FlexCache technology is a true cloud bursting enabler, which costs a lot of customers are using as of today in order to set their infrastructure up for the hybrid world. Yeah. And I don't know, Jesse, do you want to add some comments or highlight. On this slide specifically? Yeah. Whatever you comes into your mind. Right. So well, I mean, yeah, uh, the first thing that comes to my mind is I used to support EDA customers, uh, in the semiconductor space. And this was definitely a design that is, uh, used by that space, uh, specifically. And I it it's going to go, uh, when I wrap things up, I'll talk a little bit more about this, but, uh, I know we're only talking about three workloads here, uh, you know, today. But, um. FSx for NetApp. ONTAP solves so many different workload issues, I guess I'll say. And, um, probably repeat it at the end, but, uh, we'll move into arm now, you want to talk about arm and your experience with arm Tillman. Yeah. You already covered this topic. Right. So for example, especially in the EDA space, um, a lot of customers are exactly using this technology because they want to keep the dependencies of the data. Also in the other environment where they burst to, such as AWS. And for this purpose, like caching on the storage and infrastructure layer, comes in very handy in order to make this, um, yeah, process at least as smooth as possible. So you can really, uh, focus on running the simulation and addressing these architectural designs, maybe, um, on another layer. So ARM is just another example where customers are using cloud bursting mechanisms for their EDA workloads, where they want to keep the dependencies on the storage layer. Right. Um, also in other environments. And um, yeah. So we see a massive trend, especially with the scarcity of GPU resources at the moment, right? Because they are not hard. They are very hard to get. And AWS, I know you have good relationships, right? So you have a different and variety of the latest CPUs and GPUs that you can access. And we also do have some internal documentation and material. How you can actually. Yeah. Um, include the cloud bursting mechanisms into your whatever, like AI pipeline or,infrastructure setup pipeline in order to, um, burst to the cloud, for example, you can automate it in a way that once your CPUs or GPUs On-premises are like, um, all utilized, that you can then automatically spin up resources on AWS and FSx for NetApp. ONTAP, for example, is then the provider of the different data types, um, to,um, provide this bidirectional relationship. Um, yeah. So cloud bursting is the third workload where we currently see a lot of buzz around and, um, a um, a lot of customers adapting in order to build true hybrid cloud architectures. Yeah, Tilman, the only thing I'd add here is specific, since this is an arm slide, I was actually at Reinvent and helped to do the first workshop that we had for scale out storage. Got to meet David Miller, um, the person from arm that did this quote because he, uh, presented with, uh, our product manager for FSx for NetApp ONTAP, um, and we, uh, did testing with them with the scale out, um, storage capabilities as he's talking here and released the scale out file systems specifically. So when we're talking at scale customers, um, we've got you covered, I guess is the point here. Um, and it was just a joy to be at that reinvent and do that. So and again, I think, uh, I think you pretty much covered this, right, uh, Tilman, that these are all the things that we really discussed here today. Um, I don't know if you have anything else to,add on top of this, you know, high level slide here. But yeah, just so, um, so, for example, right, if you want to build this like really critical applications on AWS, you also need to consider the storage, right? Because this is mostly about compute and storage in order to run smoothly. And we have a very,um, strong solution and strong value proposition, especially when it comes to those workloads. And we are more than happy to also collaborate with you, um, or our customers and partners, um, in order to innovate in this section further, but also to make these platforms that you're currently building as efficient and as performant as possible. And yeah, we have great case studies. So Rivian is not the only one. We have also public case studies of Tesco, um, for example, or Joby Aviation who are also doing similar things um on AWS. And where we can create significant value together. Yeah. And then one other thing that I would add, um, I and this was my,wrap up, this is my wrap up slide team and I can't see the chat. But Seb, did you throw theblog links in chat? Okay. Yeah. I just want to make sure we got the blog links out there. Tillman's on one of those AWS blogs. I know, um, but, uh, we use this all the time. Uh, inside AWS, our storage teams, we just call FSX for NetApp Ontap or Swiss Army Knife when it comes from a storage services perspective. Because again, I keep using enterprise grade, uh, storage features like the when AWS built things from, uh, you know, modern perspective, um, I don't we weren't ever thinking of, you know, like the on prem world, right. We were doing things new. So this partnership with NetApp has helped me personally bridge a gap for a lot of customers. Um, when we're talking about the normal enterprise storage, uh, you know, feature sets that anybody on premise is looking for, we have got that with FSX for NetApp Ontap. And it's just a joy to have this relationship with NetApp. Um, again, Tillman can't thank you enough, uh, as well as the rest of the NetApp, uh, counterparts that I work with, uh, for the partnership. And, uh, it's been super fun doing this with you.