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Unless you were under a rock the last few weeks, or perhaps you just don’t watch Cramer, you know that NVIDIA hosted their first live GTC event in San Jose after four years of virtual events.

The show was unbelievably busy. The word was that the convention center hit the 20K capacity every day of the event. We were fortunate to have been invited to have a booth in the Metropolis AI Pavilion and we had hundreds of people come by to see our demos and chat computer vision and AI. In fact, the show was busy from the first hour of the expo to the last.

We also saw some fantastic talks covering topics such as using NVIDIA Omniverse for generating synthetic data, geospatial applications of NeRFs, Generative AI, and OpenUSD.


Some of the highlights to pay attention to:

  • Keynote by NVIDIA CEO Jensen Huang
  • Access to recordings of live-streamed talks through the GTC portal
  • The new Blackwell chip architecture and how it will change AI
  • A big push for AI in more real world domains showcased by Earth 2, a Geospatial Roundtable, and participation by companies such as Esri, Hexagon, Dassault Systems, and many more is an NVIDIA Inception Partner and also part of the AI Accelerated program. Our team also had plenty of takeaways from the show. Here’s a bit of what they had to say:

⚫ It was exciting to see how quickly the industry is moving; not just technical capabilities, but unlocking new business opportunity. That sense of progress was accentuated by a a very real experience of collective discovery at GTC. We just don’t know what’s going to be around the next corner…

— Dr. Nathan Kundtz, CEO

⚫ In general, it was just fun to see some of the state-of-the-art across different fields from Robotics to Medicine, to see NVIDIA’s vision for the future. I was really impressed to see teams using Simulation-in-the-loop to deploy virtual fleets with real assets, capture and apply sensor data real-time to perform complex tasks.

— Ethan Sharratt, Director of Engineering

⚫ NVIDIA Omniverse is the fastest maturing 3D platform that I’ve ever seen. The startup and mature partners working with it are doing more today than could have been imagined 18 months ago and it has the potential to really open up the industry to more accessible 3D workflows for more professional applications than anything else on the market.

— Chris Andrews, COO

⚫ It was great to see how common the term Synthetic Data has become. When talking with folks at the booth, I found little need to explain when and how it is useful and cut the chase of the niche Rendered fills. Also, I found potential and existing parnters understood that we are not competing in the simulation space. Providing the capability to scale GPUs in the cloud providing a user layer to configure simulation engines (and capturing the randomization parameters as metadata) seemed to click easier than ever.

— Matt Robinson, Lead Solution Architect and Senior Software Engineer

⚫ I enjoyed learning about the diverse use cases machine learning engineers are taking on across all verticals. I spoke to teams working on everything from tool detection in egg hatcheries to disease identification in dental x-rays. It’s gratifying to hear how valuable all of these teams find the use of synthetic data to improve their model training efforts. 

— Jackson Bueno, Account Executive

⚫ I was most surprised by all of the possible use cases of synthetic data in industries I had not considered.  One in particular Jackson spoke to at the booth who was a commodities trader and they wanted to use synthetic data with mapping and weather data to predict changes of market price for commodities like oil and natural gas.

— Jeffrey Ian Wilson, 3D Technical Director

We’d love to hear your thoughts on the show, whether you were there live, watched it virtually, or simply read about it in the news. Drop a line in the comments to let us know what you thought!


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