darkside_of_design — by Giulia

At #GTC22, our CEO Jensen Huang unveiled new chips based on the Ada Lovelace GPU architecture, advances to our computing platforms, and new cloud services to further the era of #AI and the #metaverse that will transform every industry.

7 days KPIs: #46 Million keynote views +53%, #227,000 GTC registrants, 59,000 attendees, 12.400+ global PR articles +138%, +4000 webpages published and 8x increase in traffic on Nvidia.com

Goal: Build NVIDIA GCT as the Conference for the Era of AI and the Metaverse. Deliver a groundbreaking keynote experience that millions will watch in anticipation of learning the latest developments in AI, robotics, accelerated computing and the Metaverse.

Roles: Creative Direction, 3D Sketching, Design

Highlights

The Universal Scene Description (USD)—based levels composed of 1,811 hand-modeled, textured and simulated assets objects, were built in 3 months by NVIDIA artists across 12 time zones using NVIDIA Omniverse.

“The new Ada Lovelace architecture takes on a revolutionary step in AI and deep-learning assisted rendering technology due to the fact that while the transistor count is breaking the ceiling at 76 billion, the amount of software work put out by Team Green has fully proven that the way of improving performance by AI is the way to go.” — Tech-critter

“NVIDIA Rewrites the Autonomous Driving Landscape Overnight.” - Headline, QbitAI

Jetson Orin Nano runs the NVIDIA Isaac robotics stack and features the ROS 2 GPU-accelerated framework, and NVIDIA Iaaac Sim, a robotics simulation platform, is available on the cloud.

“For those who still find the whole metaverse concept to be confusing and intangible, Nvidia this week showcased how digital twins, a metaverse application bridging real and virtual worlds, can make it more tangible and more valuable to enterprise partners.” - Dan O’Shea, Fierce Electronics

"The mythical Norse God Thor relied on his hammer Mjölnir, but there’s nothing mystical about what brings power to Nvidia’s DRIVE Thor platform...Thor’s power isn’t a hammer, it’s an inference transformer." — Sean Kerner, VentureBeat

"Nvidia is rolling out a 2,000 TOPS central compute engine for highly automated vehicles – something no other chipmaker has offered." — Junko Yoshida, Ojo-Yoshida Report

"portrait of Grace Hopper, working in a futuristic datacenter, realistic, Mario Testino photography" on Midjourney

“Everyone wants to get their hands on Hopper, the new data center GPU with a five-fold boost in performance for training Transformer networks.” — Karl Freund, Forbes

Bringing NVIDIA’s systems and silicon, and the benefits of accelerated computing, to industries around the world, is a software ecosystem with more than 3.5 million developers creating some 3,000 accelerated apps using NVIDIA’s 550 software development kits, or SDKs, and AI models.