Speaker 1: Hello and good day to you. From episode 46 of our podcast series project, Breakaway, a metaphorical and a literal time in the day when we hear at Predator cycling, take some time away from working in the back shop to come and share with our listeners. What we're doing, how we're doing it, what it takes to do it, our ideas, our Innovative success, stories and even our missteps and failures. If you find yourself with an interest in bicycles composite manufacturing out of the box design or even Curiosities Beyond I encourage you to stick with us, settle in and learn a little. I'm Courtney B co-owner and project manager, Predator cycling. I'm here with my partner. I'm good and the other co-owner CEO lead designer, engineer and daycare Daddy. Yeah, so we if you hear a child that's because there's a child here with us today,
Speaker 2: there is a special guest. I'm sure. She'll make a parents at some point in the podcast. He
Speaker 1: is silently eating pizza and macaroni and cheese. Yeah, but I don't know how long that'll last.
Speaker 2: Yeah, we'll see.
Speaker 1: So we'll try and get through this quickly. First of all, I want to wish happy birthday to our number one employee.
Speaker 2: Yeah.
Speaker 1: Yeah. Charles Henry with more breast organic and 13 years young, that's the dog
Speaker 2: that is a mouthful. Yeah, that is our faithful Charlie.
Speaker 1: Yeah, so if you hear a little Tippy toppies the dogs here too. Dogs, always hear
Speaker 2: dogs. Always here.
Speaker 1: He lives here basically.
Speaker 2: Yeah,
Speaker 1: okay, so cool. So let's move on this past Wednesday, you partook. Partake. Sure livestream about their Omniverse platform. You can go to twitch.tv slash Nvidia, Omniverse or youtube.com video Omniverse and they should have this recording Lee readily available for those who did not catch it live. Now, we've talked about this product, this product Omniverse a lot. Now we use it what we want to do with it and this topic seems to get us a lot of traction here, and more and more inquiries come in and more interest comes in the more we promote it or discuss it I guess to me. I feel like we talked about a Non-Stop but I guess The more we talk about it, the more people are like, I guess, catch on.
Speaker 2: Yeah, it's also it's an interesting topic because it's It's you know, Omniverse is like this thing. It's like everyone's like oh it's like a program. It's like yeah, it's a It's a platform with a bunch of cool kids and ecosystem and it's got a lot of tools that come into it, and there's a lot of interest in it because I think a lot of times people have a hard time kind of grasping what it is. and it doesn't have a lot of traction yet in manufacturing and product development, which ironically, I think is probably where it's Most powerful. I mean, I'm just biased because that's what that's what we do. Yes. I think we always get
Speaker 1: quite a bit of interest on it. Yeah. So you wanted to do more of a deep dive into the specific applications that you discussed on the live stream.
Speaker 2: Yeah. A little bit just kind of go back into it and just kind of like just kind of discuss what Omniverse is how we use it.
Speaker 1: Because
Speaker 2: it's something that we get. I mean go to trade shows and stuff. I mean obviously we're usually going with Lenovo or Nvidia so that's the interest but it's surprising. How many people that like you think should kind of know what it is? Don't know what it is
Speaker 1: back up. Yeah. So the word on the street and it's maybe overused under used hyped up misunderstood as metaverse.
Speaker 2: Yeah,
Speaker 1: so I'm the verse is and videos metaverse essentially.
Speaker 2: Yeah.
Speaker 1: And there's meta which is formerly Facebook, which I think people are more when they hear the word.
Speaker 2: Oh and
Speaker 1: what direction? They were going with it with like gaming and avatars and that type of alternative reality. Yeah. And then there's what we're doing with it.
Speaker 2: Yeah.
Speaker 1: Omniverse says more. Business and designed Centric.
Speaker 2: Sure, yeah.
Speaker 1: Okay, so we're not doing gaming, although gaming movies. Entertainment is a huge part of the Omniverse,
Speaker 2: it can be. Yes,
Speaker 1: that's not how we're using it.
Speaker 2: No
Speaker 1: explain more about that distinguish. The difference is that the, you know, us normies who see metaverse between, what you think?
Speaker 2: Yeah, absolutely. So like I think the big thing here is like, what is the metaverse? Yeah. See, even Sammy, doesn't even quite understand what the metaverse is. But the metaverse is this idea where it's a, it's a twin of of reality. It's a place where, you know, you have models, you know, objects meshes that also have real physics. So like, you know, if you stick a ball in the air, it falls.
Speaker 1: I don't believe in physics. So I think the most
Speaker 2: kind of. So, like, I mean we have this idea where Are we have physics applied, and we have real-time, you know, in vehicles of Ray tracing visualization. So we can apply what your eye sees and you have yet how physics is applied to it.
Speaker 1: So
Speaker 2: we can take things like digital twins, like bicycles and parts and components, and actually make this really cool ecosystem, where you have the parts themselves, and you have physics, and, and visualizations being applied to it. So, you know, that's what the metaverse is. What's interesting with Nvidia is they've allowed us all these different ways to interact with it. So like they have all these different kind of apps that they've built. And they've also built this kind of framework where we can build our own apps and our own Integrations. So like the same metaverse that, you know, nvidia's build here in Omniverse that we're accessing for manufacturing needs and like photorealistic Runners of our bicycles is the same. Ones that you use a game for building games because it's truly a real metaverse. It's not You know. It's not a height. It's not. It's the real thing.
Speaker 1: You wanna eventually because like a bit, I think a big thing of the metaverse is people think oh they eyes like you need like goggles or something to put on your head to like,
Speaker 2: right? So,
Speaker 1: which is game, I was kind of asking you. I'm like, I don't understand this new like VR Gaming. Did you just buy headset? And how do you get the games? You download them,
Speaker 2: literally. Somebody just the other day. I don't know how
Speaker 1: it works. I'm old and I need like a Sega Genesis to understand how things
Speaker 2: work but you can't replace you just released their is where they can actually play games and VR available soon but
Speaker 1: like VR stuff would be like you put it on your in a shop which I think people have seen like the factories and stuff. I put a goggles on and now I can see a package move throughout the building, like see through the walls and I see conveyor belt or like I know people they do like training now at like box stores and stuff where you like, this is how, you know.
Speaker 2: Yeah.
Speaker 1: It doesn't make sense anymore. Like this is how you become a cashier and you don't need a cashier anymore because there's a robot. There's anyway.
Speaker 2: Yes, I'll check. Out some stuff notice. But yes, like there's a lot of arvr Yes, that's totally valid. And that's a lot of people think of the metaverse is like, oh yeah. Like, you know, I think like Facebook does that, or meta does that surgery like surgery, replica commercial like
Speaker 1: practicing surgery for the we
Speaker 2: was a second. He's talking about doctor, was it doctor?
Speaker 1: All right, because he's like, the, the Wii Remote and it was horrible. I didn't work very well at all.
Speaker 2: Well, its first gen but my point being that is that, yes, that's one representation. With the other representation is is that you can actually it's probably gonna Rabbit Hole here, but like in the metaverse you could actually run like synthetic data, which is where things get really interesting. Like, you know
Speaker 1: is interested is because they were on like the ships and software behind like the.
Speaker 2: Yeah. So
Speaker 1: it's not like coming out with games and stuff. They're coming out with the stages that run the game.
Speaker 2: Yes, they're coming out with an engine to build the Omniverse and runs on their gpus.
Speaker 1: Yeah.
Speaker 2: And in our case we're running all their gpus inside of you know massive Lenovo Hardware
Speaker 1: is we're talking about slogans earlier. I was talking about Duncan Donuts I was like the world runs on Duncan. So like the metaverse runs on Nvidia?
Speaker 2: Yeah. Yeah it does. That's what. Yeah. It
Speaker 1: Better.
Speaker 2: Um yeah, yeah, that's from our coffee conversation,
Speaker 1: early. Yeah,
Speaker 2: that's a revert back. But yeah, so I mean the idea here is like, is this the metaverse itself is a very interesting thing and and applications for their super interesting. And so for us here, you know, we're taking products that we design and prototype and make digital prototypes. We're able to take multiple different types of software and connect that into the Omniverse really efficiently. Well, sometimes not that efficiently, right, Sammy? Um, but yeah. So we can actually take data sets, drop them into Omniverse and we can basically see how they connect. Build them out together and start applying simulation and start applying synthetic data. Like I say, synthetic data, I think the perfect example of this is where we're trying to take. This is when you look at our Aero bars, the custom Aromas, that we build. And where we take the inquiries position, we take multiple positions of Corey on the bars, in different hand, positions, gestures angles, and then run cfd analysis on it. This is something that we can start. We currently automate out in the program side for like fusion and we create the data sets and then run that in cfd solvers. But we can also run that in a position where we're dropping those models sets and some basic cfd data into Omniverse. And then they have a couple engines like modulus where we can actually run and create simulations and make variations of that and based on the simulations, get new results. So you're really talking about this, like, generative style development process that can actually happen inside of Omniverse. I mean, you know, we're not quite there yet, but we're definitely moving there pretty quickly. So, I mean, that's, That's definitely, I don't know. It's cool. And that's what's I don't for me. That's what gets me excited about Omniverse because, because it's this really cool platform. Like, we can kind of really build what ever we want on it. We don't have to just rely on, you know, the packages that are built by vendors. Like
Speaker 1: for sure interest in US is because you're kind of like, Using it as a. I mean, not beta. I mean it's out but like Yeah. Different application that other people are using it for sure. So
Speaker 2: we are and I think, you know, we're definitely on the on the forward edge of stuff like this because, you know, we work a lot with software companies and Hardware companies to design and develop workflows. And I think our workflow is, I don't know. I think we got a pretty cool workflow that's pretty unique. It's very digital. So it makes integration for things like this into Omniverse very fluid. It's a very fluid transition into into it. So
Speaker 1: what was the live stream? Like, what were questions?
Speaker 2: Live stream is was a lot about workflows. So, basically kind of the concept of like, showing some of how we take data sets from Fusion, from Rhino. And we basically dumped that into into Omniverse, create and we can visualize it and build it and build up assets. Those are super helpful because sometimes we get models or meshes coming in from vendors and we able to drop all that into Omniverse convert, everything to the usd's and kind of build. Assembly. Oh I mean the RF 20. It when you think of it, it's not that big of a product. It's like, oh, you know, like it's a bike. It's not that big, but it's, it's, it's, it's about 7,100 components that build that bike.
Speaker 1: I think you're talking about how, like there's so many components, like, each chain link whatever is you've designed and whatever. But like, I think the topic was like, getting each of those parts in the Omniverse, Charlie. I know it's your birthday, but come down anyway, but I guess you don't think about it. Like
Speaker 2: right?
Speaker 1: I see a digital image. Oh, that's cool. There's a bike. And it's in a park and you're riding it and it's going forward. But you don't realize that you have to actually like code and digitize every single piece of that bike to replicate the movement. You know. Yeah,
Speaker 2: it's
Speaker 1: coming to you now.
Speaker 2: It's definitely a challenge but when you're it's definitely a challenge but it's you know the part that's cool about it Omniverse is that it doesn't see the chain as you know, 1000 Parts. It sees it actually as like three parts that are just
Speaker 1: literally the opposite of what I was just thinking. I thought it was literally reading like all those hundreds of thousands of parts and somehow making it work.
Speaker 2: It is
Speaker 1: you're saying it's grouping it,
Speaker 2: it does. But like so friends is a chain is I believe it the chain for us is like 1300 components but it's really just
Speaker 1: like AI to like determine like Where we say, you see a bike digital bike, like riding through a park. And now there's a curve, this it has to like the engine has to like compute that curve or is AI Computing. The parts moving so.
Speaker 2: Well, now you're saying is about. Okay, so this is what's so interesting about Omniverse is that you actually have physics. I mean, I know
Speaker 1: you don't believe in it,
Speaker 2: but it has it. So the idea being that when you have a turn or like for instance, a wall and this if you animated the bicycle to go down, roll down a hill and there's a wall at the end of it when it hits the wall, I mean it will
Speaker 1: hear it. I'm sure physics exists, digitally and the perfect scenario. I'm saying physics doesn't doesn't happen in the real world because there's so many other things that ruin what your outcome. This is what you always say. Hey, you drop something. The ball should do this and I say, no, and never happens. It never does that something always happens.
Speaker 2: Yes. So like so, Yes, you're 100% correct. So, basically, I mean, I another way of saying what you're saying is, basically, physics is correct. It's just, we don't always account for all the variables that are out there in real world to equate
Speaker 1: and it is a perfect world.
Speaker 2: It is a perfect world, but also, it's interesting because you can connect Omniverse to the real world and start trying to capture that data and understand what's happening. So for us, like when we do test bench testing on our products, our simulation is done on the actual machine that we fabricated ourselves here. So we have a very close representation of what the testing machine should do and the results that should come from it. So we have a relatively closed loop system, I mean if you look at the simulations that we ran on like on Corey for aerobar extensions, I mean we were very close. We were plus or minus just a couple percent on on what his wind tunnel data and real life data did to our simulated data. But we're just one tunnel data. I didn't see the actual data but we got some Benchmark concepts of where the data sets are. So, you know, we knew that we were on the right Trend and more importantly, we were on the trend because we we were on the right Trend because of the hard day. We had from race results and the result data. But the Um, my point is, is that you can connect so many different things. So we can bring all that kind of data sets into Omniverse and lay that in. And because we have real-time physics, we can actually solve problems. You know, for instance, like, think about something that's relatively complicated hard to do, an animation is like a drivetrain system. So, like, a bicycle chain and the way that chain interferes with the pins and the outer links and interlinks and a cassette and a derailleur in Omniverse, you could you can use physics to drive one another. So there's collisions, right? That chain is colliding with the cassette. And there's, there's an inner, there's an interference there and it's turning the cassette. Those are things that Omniverse can do. And that's a big ask. I mean there's not very many softwares that can actually do that and because it is a real world. I mean, it's a metaverse, you know, that's its power because we can take that kind of information and then basically build upon it. So now that bike is going down the hill. And now it's, we're looking at how that chain is responding and, you know, we can start analyzing more data sets. If we're taking in real world data, we can actually try maybe an overlay the date on top of itself. Anyways, my point is is that it becomes Limitless. And what we can do, we can take so much information and put it together and that's what's kind of cool about it. And you know, I mean we're fortunate where we can actually run all out locally so it makes it even cooler.
Speaker 1: You know how to run it. I could just log on and hey, look at
Speaker 2: Me it is it is a little cumbersome to do and there's lots of data sets in connectors and things but I mean even me that's like I'm not a developer. I'm just A software guy that designs
Speaker 1: a guy with a computer
Speaker 2: that
Speaker 1: like this Google,
Speaker 2: I do. These are all truths. These are all true statements.
Speaker 1: Now there are a few more things on the horizon with Nvidia. Yeah. And just they just released a workflow video of their processes on their YouTube page and within their tutorial documentation.
Speaker 2: So
Speaker 1: basically, we gave them some digital models that they can utilize to Showcase their software capabilities and that's cool that they get to help us on projects and then, you know, in return. We give them some stuff so they can.
Speaker 2: Yeah,
Speaker 1: showcase their stuff for other people.
Speaker 2: Yeah, so we worked with A team over at Nvidia quite a bit Craig and TJ and Mike of been huge players and helping us. And we worked with them to basically come up with an asset set that you can use an Omniverse and they're able to basically showcase on how we use like fusion and Rhino and Omniverse together and bring in different assets from different places and and kind of merge that together inside of inside of Omniverse. So it's pretty cool. It's pretty exciting. Craig kind of walks you through the whole thing and he's very talented modeler designers. So it's cool to see his take on all of it. And yeah it's a good little serious and really I think it's a good case because it's actually like a real workflow. You know. It's not like this hypothetical,
Speaker 1: you
Speaker 2: know, Perfect Storm
Speaker 1: take a tangible object. That's like
Speaker 2: yeah. And it's real and And it's not a small data set. I mean that, like I said, you're I think there's it's got to be at least 2000 Parts in that assembly. There's gotta be at least 2000 Parts in there. So let's not a joke to be able to compute. You know, a lot of software would struggle with that.
Speaker 1: Okay, anything else discuss about that? I know this. We're gonna keep this one a little bit. Yeah,
Speaker 2: that's
Speaker 1: all the people here today.
Speaker 2: Yeah,
Speaker 1: anything about that before I
Speaker 2: yeah, that's there. It's online. Check on YouTube.
Speaker 1: Yeah, I
Speaker 2: don't think it's
Speaker 1: for the young kids. They don't think they're recording on Twitch.
Speaker 2: The the know that recording is not on Twitch. The one that Craig did the two parties workflow. Yeah, that's on there and it's on the Oh no. Is it? Is it on? He's the youngster here? Is it on Twitch?
Speaker 1: Is it on Disney? Junior
Speaker 2: know. So it's on YouTube. So on the documentation on nvidia's website. So some of the tutorial documentations, it's also on there. And yeah, so I think that should should be helpful anyone that's looking at Omniverse. Look at that, if you're doing like actual products and you're doing like, you know, you're working in Fusion, you working in line out, I think it'll help you kind of, at least understand the workflows that we're using that can that could be helpful. So
Speaker 1: and our friends at Lenovo also hooked us up with tickets to the 3D experience world. Yeah. Here in Nashville so we don't have to travel.
Speaker 2: Yeah.
Speaker 1: It's at the Music City Center here in two weeks. Valentine's Day. It's gonna be a great day, so you love a good convention.
Speaker 2: Are you always
Speaker 1: if it's interesting? It's interesting convention.
Speaker 2: Yeah, well, if we're gonna Bravo con, I don't think I'd be that interested.
Speaker 1: Hills. I think you'd be interested in New York and definitely Southern Charm. Anyway, that's just that's my area of expertise but your area expertise is a 3D experience World which I assume means 3D softwares and other things. Yeah.
Speaker 2: So I think it used to be called SolidWorks world or something because it's, I mean, it's, it's
Speaker 1: yeah,
Speaker 2: yes person. They are the makers of SolidWorks Katya. And what is it simulate simulator? I think is their simulation system. It's software that I don't use. So I'm actually interested to see. I'm kind of,
Speaker 1: yeah. And like the totally anticipating, so it's like super cool and you're gonna geek out and you're gonna be like, oh this is, this is, I'm like, yo Brie, oh really? And we have a Taco Bell budget.
Speaker 2: probably, I Always wanted to use, I played around before, I've always been interested.
Speaker 1: Booth set up so you can play with it. Hopefully take a video so you can you know hold on to those memories.
Speaker 2: Yeah, I know. Be fun. I'm excited. I'm excited to see. Like it's stuff that I never worked on. I've never played with it very little bit here and there so I'm interested just to see what it is. Like, I don't know. Check it out.
Speaker 1: Downtown Nashville. So maybe we'll be like a whiskey tasting, too. Everyone loves this design whiskey, right?
Speaker 2: Yeah,
Speaker 1: I'm sure he's got to be some sort of catch down there.
Speaker 2: Hopefully.
Speaker 1: Anyway, that's all I got anything else to add.
Speaker 2: No, no, just working on the normal stuff here. So
Speaker 1: I'm just gonna chug along. And hopefully, next week, There Are No Children Here at the shop.
Speaker 2: No, no children.
Speaker 1: Okay. So we thank you for choosing to take some time with us. And we look forward to future breakaways. Look for us on Instagram and like Facebook, Twitter. And in person, here in Tennessee, we ask our listeners. Please share like And subscribe. Thanks for listening.
Speaker 2: there is a special guest. I'm sure. She'll make a parents at some point in the podcast. He
Speaker 1: is silently eating pizza and macaroni and cheese. Yeah, but I don't know how long that'll last.
Speaker 2: Yeah, we'll see.
Speaker 1: So we'll try and get through this quickly. First of all, I want to wish happy birthday to our number one employee.
Speaker 2: Yeah.
Speaker 1: Yeah. Charles Henry with more breast organic and 13 years young, that's the dog
Speaker 2: that is a mouthful. Yeah, that is our faithful Charlie.
Speaker 1: Yeah, so if you hear a little Tippy toppies the dogs here too. Dogs, always hear
Speaker 2: dogs. Always here.
Speaker 1: He lives here basically.
Speaker 2: Yeah,
Speaker 1: okay, so cool. So let's move on this past Wednesday, you partook. Partake. Sure livestream about their Omniverse platform. You can go to twitch.tv slash Nvidia, Omniverse or youtube.com video Omniverse and they should have this recording Lee readily available for those who did not catch it live. Now, we've talked about this product, this product Omniverse a lot. Now we use it what we want to do with it and this topic seems to get us a lot of traction here, and more and more inquiries come in and more interest comes in the more we promote it or discuss it I guess to me. I feel like we talked about a Non-Stop but I guess The more we talk about it, the more people are like, I guess, catch on.
Speaker 2: Yeah, it's also it's an interesting topic because it's It's you know, Omniverse is like this thing. It's like everyone's like oh it's like a program. It's like yeah, it's a It's a platform with a bunch of cool kids and ecosystem and it's got a lot of tools that come into it, and there's a lot of interest in it because I think a lot of times people have a hard time kind of grasping what it is. and it doesn't have a lot of traction yet in manufacturing and product development, which ironically, I think is probably where it's Most powerful. I mean, I'm just biased because that's what that's what we do. Yes. I think we always get
Speaker 1: quite a bit of interest on it. Yeah. So you wanted to do more of a deep dive into the specific applications that you discussed on the live stream.
Speaker 2: Yeah. A little bit just kind of go back into it and just kind of like just kind of discuss what Omniverse is how we use it.
Speaker 1: Because
Speaker 2: it's something that we get. I mean go to trade shows and stuff. I mean obviously we're usually going with Lenovo or Nvidia so that's the interest but it's surprising. How many people that like you think should kind of know what it is? Don't know what it is
Speaker 1: back up. Yeah. So the word on the street and it's maybe overused under used hyped up misunderstood as metaverse.
Speaker 2: Yeah,
Speaker 1: so I'm the verse is and videos metaverse essentially.
Speaker 2: Yeah.
Speaker 1: And there's meta which is formerly Facebook, which I think people are more when they hear the word.
Speaker 2: Oh and
Speaker 1: what direction? They were going with it with like gaming and avatars and that type of alternative reality. Yeah. And then there's what we're doing with it.
Speaker 2: Yeah.
Speaker 1: Omniverse says more. Business and designed Centric.
Speaker 2: Sure, yeah.
Speaker 1: Okay, so we're not doing gaming, although gaming movies. Entertainment is a huge part of the Omniverse,
Speaker 2: it can be. Yes,
Speaker 1: that's not how we're using it.
Speaker 2: No
Speaker 1: explain more about that distinguish. The difference is that the, you know, us normies who see metaverse between, what you think?
Speaker 2: Yeah, absolutely. So like I think the big thing here is like, what is the metaverse? Yeah. See, even Sammy, doesn't even quite understand what the metaverse is. But the metaverse is this idea where it's a, it's a twin of of reality. It's a place where, you know, you have models, you know, objects meshes that also have real physics. So like, you know, if you stick a ball in the air, it falls.
Speaker 1: I don't believe in physics. So I think the most
Speaker 2: kind of. So, like, I mean we have this idea where Are we have physics applied, and we have real-time, you know, in vehicles of Ray tracing visualization. So we can apply what your eye sees and you have yet how physics is applied to it.
Speaker 1: So
Speaker 2: we can take things like digital twins, like bicycles and parts and components, and actually make this really cool ecosystem, where you have the parts themselves, and you have physics, and, and visualizations being applied to it. So, you know, that's what the metaverse is. What's interesting with Nvidia is they've allowed us all these different ways to interact with it. So like they have all these different kind of apps that they've built. And they've also built this kind of framework where we can build our own apps and our own Integrations. So like the same metaverse that, you know, nvidia's build here in Omniverse that we're accessing for manufacturing needs and like photorealistic Runners of our bicycles is the same. Ones that you use a game for building games because it's truly a real metaverse. It's not You know. It's not a height. It's not. It's the real thing.
Speaker 1: You wanna eventually because like a bit, I think a big thing of the metaverse is people think oh they eyes like you need like goggles or something to put on your head to like,
Speaker 2: right? So,
Speaker 1: which is game, I was kind of asking you. I'm like, I don't understand this new like VR Gaming. Did you just buy headset? And how do you get the games? You download them,
Speaker 2: literally. Somebody just the other day. I don't know how
Speaker 1: it works. I'm old and I need like a Sega Genesis to understand how things
Speaker 2: work but you can't replace you just released their is where they can actually play games and VR available soon but
Speaker 1: like VR stuff would be like you put it on your in a shop which I think people have seen like the factories and stuff. I put a goggles on and now I can see a package move throughout the building, like see through the walls and I see conveyor belt or like I know people they do like training now at like box stores and stuff where you like, this is how, you know.
Speaker 2: Yeah.
Speaker 1: It doesn't make sense anymore. Like this is how you become a cashier and you don't need a cashier anymore because there's a robot. There's anyway.
Speaker 2: Yes, I'll check. Out some stuff notice. But yes, like there's a lot of arvr Yes, that's totally valid. And that's a lot of people think of the metaverse is like, oh yeah. Like, you know, I think like Facebook does that, or meta does that surgery like surgery, replica commercial like
Speaker 1: practicing surgery for the we
Speaker 2: was a second. He's talking about doctor, was it doctor?
Speaker 1: All right, because he's like, the, the Wii Remote and it was horrible. I didn't work very well at all.
Speaker 2: Well, its first gen but my point being that is that, yes, that's one representation. With the other representation is is that you can actually it's probably gonna Rabbit Hole here, but like in the metaverse you could actually run like synthetic data, which is where things get really interesting. Like, you know
Speaker 1: is interested is because they were on like the ships and software behind like the.
Speaker 2: Yeah. So
Speaker 1: it's not like coming out with games and stuff. They're coming out with the stages that run the game.
Speaker 2: Yes, they're coming out with an engine to build the Omniverse and runs on their gpus.
Speaker 1: Yeah.
Speaker 2: And in our case we're running all their gpus inside of you know massive Lenovo Hardware
Speaker 1: is we're talking about slogans earlier. I was talking about Duncan Donuts I was like the world runs on Duncan. So like the metaverse runs on Nvidia?
Speaker 2: Yeah. Yeah it does. That's what. Yeah. It
Speaker 1: Better.
Speaker 2: Um yeah, yeah, that's from our coffee conversation,
Speaker 1: early. Yeah,
Speaker 2: that's a revert back. But yeah, so I mean the idea here is like, is this the metaverse itself is a very interesting thing and and applications for their super interesting. And so for us here, you know, we're taking products that we design and prototype and make digital prototypes. We're able to take multiple different types of software and connect that into the Omniverse really efficiently. Well, sometimes not that efficiently, right, Sammy? Um, but yeah. So we can actually take data sets, drop them into Omniverse and we can basically see how they connect. Build them out together and start applying simulation and start applying synthetic data. Like I say, synthetic data, I think the perfect example of this is where we're trying to take. This is when you look at our Aero bars, the custom Aromas, that we build. And where we take the inquiries position, we take multiple positions of Corey on the bars, in different hand, positions, gestures angles, and then run cfd analysis on it. This is something that we can start. We currently automate out in the program side for like fusion and we create the data sets and then run that in cfd solvers. But we can also run that in a position where we're dropping those models sets and some basic cfd data into Omniverse. And then they have a couple engines like modulus where we can actually run and create simulations and make variations of that and based on the simulations, get new results. So you're really talking about this, like, generative style development process that can actually happen inside of Omniverse. I mean, you know, we're not quite there yet, but we're definitely moving there pretty quickly. So, I mean, that's, That's definitely, I don't know. It's cool. And that's what's I don't for me. That's what gets me excited about Omniverse because, because it's this really cool platform. Like, we can kind of really build what ever we want on it. We don't have to just rely on, you know, the packages that are built by vendors. Like
Speaker 1: for sure interest in US is because you're kind of like, Using it as a. I mean, not beta. I mean it's out but like Yeah. Different application that other people are using it for sure. So
Speaker 2: we are and I think, you know, we're definitely on the on the forward edge of stuff like this because, you know, we work a lot with software companies and Hardware companies to design and develop workflows. And I think our workflow is, I don't know. I think we got a pretty cool workflow that's pretty unique. It's very digital. So it makes integration for things like this into Omniverse very fluid. It's a very fluid transition into into it. So
Speaker 1: what was the live stream? Like, what were questions?
Speaker 2: Live stream is was a lot about workflows. So, basically kind of the concept of like, showing some of how we take data sets from Fusion, from Rhino. And we basically dumped that into into Omniverse, create and we can visualize it and build it and build up assets. Those are super helpful because sometimes we get models or meshes coming in from vendors and we able to drop all that into Omniverse convert, everything to the usd's and kind of build. Assembly. Oh I mean the RF 20. It when you think of it, it's not that big of a product. It's like, oh, you know, like it's a bike. It's not that big, but it's, it's, it's, it's about 7,100 components that build that bike.
Speaker 1: I think you're talking about how, like there's so many components, like, each chain link whatever is you've designed and whatever. But like, I think the topic was like, getting each of those parts in the Omniverse, Charlie. I know it's your birthday, but come down anyway, but I guess you don't think about it. Like
Speaker 2: right?
Speaker 1: I see a digital image. Oh, that's cool. There's a bike. And it's in a park and you're riding it and it's going forward. But you don't realize that you have to actually like code and digitize every single piece of that bike to replicate the movement. You know. Yeah,
Speaker 2: it's
Speaker 1: coming to you now.
Speaker 2: It's definitely a challenge but when you're it's definitely a challenge but it's you know the part that's cool about it Omniverse is that it doesn't see the chain as you know, 1000 Parts. It sees it actually as like three parts that are just
Speaker 1: literally the opposite of what I was just thinking. I thought it was literally reading like all those hundreds of thousands of parts and somehow making it work.
Speaker 2: It is
Speaker 1: you're saying it's grouping it,
Speaker 2: it does. But like so friends is a chain is I believe it the chain for us is like 1300 components but it's really just
Speaker 1: like AI to like determine like Where we say, you see a bike digital bike, like riding through a park. And now there's a curve, this it has to like the engine has to like compute that curve or is AI Computing. The parts moving so.
Speaker 2: Well, now you're saying is about. Okay, so this is what's so interesting about Omniverse is that you actually have physics. I mean, I know
Speaker 1: you don't believe in it,
Speaker 2: but it has it. So the idea being that when you have a turn or like for instance, a wall and this if you animated the bicycle to go down, roll down a hill and there's a wall at the end of it when it hits the wall, I mean it will
Speaker 1: hear it. I'm sure physics exists, digitally and the perfect scenario. I'm saying physics doesn't doesn't happen in the real world because there's so many other things that ruin what your outcome. This is what you always say. Hey, you drop something. The ball should do this and I say, no, and never happens. It never does that something always happens.
Speaker 2: Yes. So like so, Yes, you're 100% correct. So, basically, I mean, I another way of saying what you're saying is, basically, physics is correct. It's just, we don't always account for all the variables that are out there in real world to equate
Speaker 1: and it is a perfect world.
Speaker 2: It is a perfect world, but also, it's interesting because you can connect Omniverse to the real world and start trying to capture that data and understand what's happening. So for us, like when we do test bench testing on our products, our simulation is done on the actual machine that we fabricated ourselves here. So we have a very close representation of what the testing machine should do and the results that should come from it. So we have a relatively closed loop system, I mean if you look at the simulations that we ran on like on Corey for aerobar extensions, I mean we were very close. We were plus or minus just a couple percent on on what his wind tunnel data and real life data did to our simulated data. But we're just one tunnel data. I didn't see the actual data but we got some Benchmark concepts of where the data sets are. So, you know, we knew that we were on the right Trend and more importantly, we were on the trend because we we were on the right Trend because of the hard day. We had from race results and the result data. But the Um, my point is, is that you can connect so many different things. So we can bring all that kind of data sets into Omniverse and lay that in. And because we have real-time physics, we can actually solve problems. You know, for instance, like, think about something that's relatively complicated hard to do, an animation is like a drivetrain system. So, like, a bicycle chain and the way that chain interferes with the pins and the outer links and interlinks and a cassette and a derailleur in Omniverse, you could you can use physics to drive one another. So there's collisions, right? That chain is colliding with the cassette. And there's, there's an inner, there's an interference there and it's turning the cassette. Those are things that Omniverse can do. And that's a big ask. I mean there's not very many softwares that can actually do that and because it is a real world. I mean, it's a metaverse, you know, that's its power because we can take that kind of information and then basically build upon it. So now that bike is going down the hill. And now it's, we're looking at how that chain is responding and, you know, we can start analyzing more data sets. If we're taking in real world data, we can actually try maybe an overlay the date on top of itself. Anyways, my point is is that it becomes Limitless. And what we can do, we can take so much information and put it together and that's what's kind of cool about it. And you know, I mean we're fortunate where we can actually run all out locally so it makes it even cooler.
Speaker 1: You know how to run it. I could just log on and hey, look at
Speaker 2: Me it is it is a little cumbersome to do and there's lots of data sets in connectors and things but I mean even me that's like I'm not a developer. I'm just A software guy that designs
Speaker 1: a guy with a computer
Speaker 2: that
Speaker 1: like this Google,
Speaker 2: I do. These are all truths. These are all true statements.
Speaker 1: Now there are a few more things on the horizon with Nvidia. Yeah. And just they just released a workflow video of their processes on their YouTube page and within their tutorial documentation.
Speaker 2: So
Speaker 1: basically, we gave them some digital models that they can utilize to Showcase their software capabilities and that's cool that they get to help us on projects and then, you know, in return. We give them some stuff so they can.
Speaker 2: Yeah,
Speaker 1: showcase their stuff for other people.
Speaker 2: Yeah, so we worked with A team over at Nvidia quite a bit Craig and TJ and Mike of been huge players and helping us. And we worked with them to basically come up with an asset set that you can use an Omniverse and they're able to basically showcase on how we use like fusion and Rhino and Omniverse together and bring in different assets from different places and and kind of merge that together inside of inside of Omniverse. So it's pretty cool. It's pretty exciting. Craig kind of walks you through the whole thing and he's very talented modeler designers. So it's cool to see his take on all of it. And yeah it's a good little serious and really I think it's a good case because it's actually like a real workflow. You know. It's not like this hypothetical,
Speaker 1: you
Speaker 2: know, Perfect Storm
Speaker 1: take a tangible object. That's like
Speaker 2: yeah. And it's real and And it's not a small data set. I mean that, like I said, you're I think there's it's got to be at least 2000 Parts in that assembly. There's gotta be at least 2000 Parts in there. So let's not a joke to be able to compute. You know, a lot of software would struggle with that.
Speaker 1: Okay, anything else discuss about that? I know this. We're gonna keep this one a little bit. Yeah,
Speaker 2: that's
Speaker 1: all the people here today.
Speaker 2: Yeah,
Speaker 1: anything about that before I
Speaker 2: yeah, that's there. It's online. Check on YouTube.
Speaker 1: Yeah, I
Speaker 2: don't think it's
Speaker 1: for the young kids. They don't think they're recording on Twitch.
Speaker 2: The the know that recording is not on Twitch. The one that Craig did the two parties workflow. Yeah, that's on there and it's on the Oh no. Is it? Is it on? He's the youngster here? Is it on Twitch?
Speaker 1: Is it on Disney? Junior
Speaker 2: know. So it's on YouTube. So on the documentation on nvidia's website. So some of the tutorial documentations, it's also on there. And yeah, so I think that should should be helpful anyone that's looking at Omniverse. Look at that, if you're doing like actual products and you're doing like, you know, you're working in Fusion, you working in line out, I think it'll help you kind of, at least understand the workflows that we're using that can that could be helpful. So
Speaker 1: and our friends at Lenovo also hooked us up with tickets to the 3D experience world. Yeah. Here in Nashville so we don't have to travel.
Speaker 2: Yeah.
Speaker 1: It's at the Music City Center here in two weeks. Valentine's Day. It's gonna be a great day, so you love a good convention.
Speaker 2: Are you always
Speaker 1: if it's interesting? It's interesting convention.
Speaker 2: Yeah, well, if we're gonna Bravo con, I don't think I'd be that interested.
Speaker 1: Hills. I think you'd be interested in New York and definitely Southern Charm. Anyway, that's just that's my area of expertise but your area expertise is a 3D experience World which I assume means 3D softwares and other things. Yeah.
Speaker 2: So I think it used to be called SolidWorks world or something because it's, I mean, it's, it's
Speaker 1: yeah,
Speaker 2: yes person. They are the makers of SolidWorks Katya. And what is it simulate simulator? I think is their simulation system. It's software that I don't use. So I'm actually interested to see. I'm kind of,
Speaker 1: yeah. And like the totally anticipating, so it's like super cool and you're gonna geek out and you're gonna be like, oh this is, this is, I'm like, yo Brie, oh really? And we have a Taco Bell budget.
Speaker 2: probably, I Always wanted to use, I played around before, I've always been interested.
Speaker 1: Booth set up so you can play with it. Hopefully take a video so you can you know hold on to those memories.
Speaker 2: Yeah, I know. Be fun. I'm excited. I'm excited to see. Like it's stuff that I never worked on. I've never played with it very little bit here and there so I'm interested just to see what it is. Like, I don't know. Check it out.
Speaker 1: Downtown Nashville. So maybe we'll be like a whiskey tasting, too. Everyone loves this design whiskey, right?
Speaker 2: Yeah,
Speaker 1: I'm sure he's got to be some sort of catch down there.
Speaker 2: Hopefully.
Speaker 1: Anyway, that's all I got anything else to add.
Speaker 2: No, no, just working on the normal stuff here. So
Speaker 1: I'm just gonna chug along. And hopefully, next week, There Are No Children Here at the shop.
Speaker 2: No, no children.
Speaker 1: Okay. So we thank you for choosing to take some time with us. And we look forward to future breakaways. Look for us on Instagram and like Facebook, Twitter. And in person, here in Tennessee, we ask our listeners. Please share like And subscribe. Thanks for listening.
