Sirk TV Spotlight: Ben Gu For “Millenium M1 Supercomputer” [Cadence]

The Inside Reel

Ben Gu, Vice President of Research & Development at Cadence Design Systems talks about design, fluid dynamics, practical application, impact and evolution in  regards to their new Millenium M1 Supercomputer optimizing new AI chips.

Transcript

00:00 [MUSIC]

00:10 We live in a world that is increasingly technologically intelligent and hyper-connected.

00:29 The electronic systems of tomorrow have redefined our way of life.

00:34 From autonomous driving and robotics to hyper-scale computing and 5G infrastructure.

00:40 These breakthroughs will shape the landscape of tomorrow.

00:44 All of this is made possible by Cadence's intelligent system design.

00:50 We're talking about with something like the Millennium AI supercomputer.

00:54 We're talking so many calculations, but can you talk about the aspect of the leap in the chip set

01:02 and what it means within the structure of the fluid dynamics, the computational fluid dynamics.

01:10 Could you talk about that in layman's terms so people understand what it is able to do?

01:15 Today, first of all, thank you for the question.

01:18 I'm joining you live from Levi Stadium, Santa Clara, California.

01:22 We're really excited to get ready for our big launch, Millennium M1 supercomputing platform for AI and for CAD.

01:33 You know, this Millennium M1 is going to transform everything we design today,

01:39 including computer, automobiles, and aircrafts, and the data centers.

01:45 The Millennium M1 will help engineers complete weeks of work in a matter of hours,

01:51 which will result in much better cars with much better fuel efficiency,

01:57 much less carbon footprint, and overall much better performance.

02:03 Could you talk about – we've seen stuff with McLaren, obviously, with race cars,

02:08 but are we talking about elements of aircraft in terms of supersonic airflow, all that kind of stuff?

02:15 Is it about figuring out what the stress points are?

02:18 Is that taken from a certain data set in the way this works?

02:25 Yes, well, Millennium M1 has specialized acceleration architecture

02:32 that we can do a lot of CFD simulations in a matter of hours.

02:36 That's much more accurate than the normal technology can do,

02:40 and that will accurately simulate all the phenomena, all the physics phenomena you mentioned,

02:45 the pressure points, turbulence, aeroacoustics, and so on.

02:50 That will give our engineers the accurate description, the accurate prediction of their design.

02:57 That's why we feel the technology is so revolutionary.

03:00 Cadence is a leading provider of computational software, hardware, and IP

03:07 for designing next-generation intelligent electronic systems.

03:11 The company has expanded from its early days of electronic design automation,

03:15 specifically for semiconductor design, to full solutions that address bigger and faster chips

03:20 and high-performance systems design for hyperscale computing, autonomous vehicles, 5G, AI/ML,

03:27 industrial IoT, intelligent medical devices, and so much more.

03:31 With nearly 10,000 employees globally, Cadence is built with a foundation

03:36 of some of the world's most creative engineers.

03:39 We're proud to be a year-after-year member of the 100 Best Places to Work.

03:43 With an accelerated revenue growth, expanded operating margin, combined with a strong balance sheet,

03:49 we are poised to continue our global leadership in advanced computational software technology

03:54 for tomorrow's biggest technological challenges.

03:56 You talk about how, you know, just looking at the sort of progression of the technology

04:01 and where we're going, where we've been, but what this allows for the human race right now.

04:07 In terms of, we're talking about different applications for both automotive and obviously aircraft,

04:13 but there's so many other things for communication, so many things.

04:17 Can you sort of talk about that and the wide-ranging possibilities of what this represents?

04:24 I think that we at Cadence, we are a computational software company.

04:32 We strongly believe computation can change everything, can make our life better.

04:37 We are working hard to make computational software can simulate everything in our physics.

04:43 You know, M1, it's a millennium, M1 is just one good example in our offering.

04:49 We believe that doing simulation can help our engineers to predict what can be designed,

04:56 so that can help us to make nearly everything better.

04:59 We talk about the automobiles, we talk about the aircraft, aerospace.

05:04 Of course, you know that lots of companies that design rockets will go to Mars.

05:08 We are really excited to be part of that effort.

05:11 Hopefully, we can send human race to Mars earlier.

05:15 And also, on the environment side, carbon neutrality is a big deal.

05:19 And you look at today, the AI wave is pushing GPU to be vastly adopted.

05:24 There's lots of electricity got used by data centers.

05:28 Had all the technology been used, all the data centers, that the power can be fully optimized.

05:34 We would have made a huge impact, huge impact on the carbon footprint reduction.

05:41 In other words, we believe, we are confident our technology can help human race,

05:47 can help our society reach the net carbon neutrality sooner.

05:52 Nearly every major technology trend relies on Cadence for world-class design software, hardware, and system analysis products.

05:59 From cloud computing and AI to aerospace, data science, and robotics.

06:04 Our customers can design and verify their enormously complex chip and system designs accurately and with a shortened time to market.

06:12 Silicon design is becoming exponentially more expensive and complex,

06:17 and the explosion of data and artificial intelligence require systems optimized for compute and high-speed communications.

06:24 Building on our computational software know-how, we're looking to the future by developing cutting-edge system analysis

06:31 and computational fluid dynamic solutions and improving design quality, safety, and security,

06:37 using machine learning as the systems of the future become more complex.

06:41 As far as AI, because obviously learning, it's about learning about seeing what the different data centers say.

06:47 Obviously, with your background, physics, research, and development,

06:51 what were the important milestones from your point of view in creating this supercomputer?

06:59 Because it takes time, it takes steps and steps, and we're all taking small steps so we can get to the next level.

07:06 Can you talk about that?

07:08 Sure. It's an amazing question. Thank you.

07:11 You compare, you look at the AI wave, it has been phenomenal in the Internet, in image recognition, voice recognition, and so on.

07:22 But you look at the AI application, at the scientific research, at the physics, at the mathematics,

07:27 it seems to be less revolutionary.

07:30 Why? It's because of the lack of data.

07:33 It's very expensive for us, for our engineering community, to come up with a huge dataset,

07:41 to be trained, to build a model on, and to be reinforced in the real application.

07:49 That's why this Millennium M1 supercomputer is so important,

07:54 because that can help our engineers to accelerate simulation,

07:59 to be able to generate the dataset much faster,

08:04 so that we can use the dataset to build an AI model,

08:08 and to inference the model to replace the future simulations.

08:14 That will help us adopt AI faster in all our applications.

08:20 We are a leading provider of computational software,

08:23 offering a truly end-to-end, full flow for chip design and system analysis.

08:28 And now, we are leveraging that position and technology know-how to expand into adjacent markets.

08:34 Cadence has a history of balancing top-line growth with strong profitability,

08:39 and of delivering values for our customers, shareholders, and partners.

08:43 Importantly, our revenue is widely diversified across multiple vertical markets.

08:48 Contracts are generally 2 to 3 years, and 85 to 90% of our revenue is recurring in nature.

08:54 We will continue to deliver world-class computational software for intelligent system design.

09:00 Do you have an example that you can give that may be a, not a prototype,

09:05 but a system where you've tested it on? I think McLaren is maybe one.

09:09 But can you talk about using this in a practical application for a company?

09:15 Can you speak about anything like that at this point? About what you guys have done?

09:20 Sure. Yeah, we have exciting results from working with Honda engineers.

09:26 Honda is using our software, hardware, Millennium M1 to get beautiful results about acceleration of the simulation.

09:37 And using our technology to simulate the Honda Jets and the Honda cars,

09:42 the results are very, very accurate and really fast.

09:45 They just love our results. They're very excited to work with us even more down the road.

09:51 You were talking about data sets. Has it just gotten to the point in the past couple of years

09:55 where we have this immense amount of data that we can use such computer to sort of,

10:01 it's about the cart before the horse and the horse before the cart in certain ways.

10:06 Is it just the fact that the data has gotten to such a level that the machine learning

10:11 and our intelligence has sort of caught up to what needs to be done?

10:15 I think that is exactly the point you're making here. It's like a chicken and egg problem.

10:19 We need to have lots of data first to be able to train the model and use the model to predict the future,

10:26 to understand the physics even more. So how to generate the data is a huge challenge

10:31 because it takes so much computation to generate data. And you need a super large data set,

10:36 typically maybe 100,000 data points. Each of the data points will take you hours or maybe days to generate.

10:44 Think about that. Putting them together is a huge, huge competition.

10:48 But using this millennium supercomputer, we are able to generate a super data set,

10:53 super large data set, much, much faster. That will, putting together, will accelerate our AI adoption

11:00 in physics simulations and in the design optimization.

11:06 That's why we are so excited about this technology.

11:09 We feel that it's going to revolutionize everything we design today.

11:13 One key to keeping costs down and increasing performance is the use of 3D IC technology

11:20 that allows heterogeneous chiplet integration, power reduction, and performance improvements.

11:26 With a massive abundance of data, new technologies are increasingly reliant on artificial intelligence and machine learning.

11:34 I just want to ask Apollo for you, because you've been through all the steps through,

11:39 what are you excited about looking forward at the evolution of what this could become?

11:46 Oh, I said this, we look forward to working with lots of customers.

11:51 We've already been working with Honda, and we're working with the other leading automobile companies, aircraft companies.

11:58 We believe this millennium one will become a platform to help our engineers to, number one, accelerate simulations.

12:06 Number two, to build an AI machine learning model.

12:09 Number three, use the AI machine learning model we build to inference, to replace the future simulations.

12:16 So one device, one platform, one hardware platform can do three jobs for our customers.

12:22 Simulation, simulation acceleration, model training, and the model inference.

12:29 It's going to be super exciting. We look forward to the bright future.

12:33 The advent of pervasive intelligence marks the fourth industrial revolution,

12:38 and Cadence's foundational strengths in computational software deliver us to the forefront of this revolution.

12:46 From the data center and hyperscalers to the edge, deep learning training and inferencing

12:53 allows vehicles to drive themselves, automate tasks, improve predictability, and preserve resources.

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