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Feel the Need … for Speed as ‘Top Goose’ Debuts In the NVIDIA Studio

Tribute to fast-flying aviators, ‘Top Goose’ takes to the sky, accelerated by development in Omniverse Machinima.
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Editor’s note: This post is part of our weekly In the NVIDIA Studio series, which celebrates featured artists, offers creative tips and tricks, and demonstrates how NVIDIA Studio technology accelerates creative workflows. 

You can be my wing-wing anytime.

This week In the NVIDIA Studio takes off with the debut of Top Goose, a short animation created with Omniverse Machinima and inspired by one of the greatest fictional pilots to ever grace the big screen.

The project was powered by PCs using the same breed of GPU that has produced every Best Visual Effects nominee at the Academy Awards for 14 years: multiple systems with NVIDIA RTX A6000 GPUs and an NVIDIA Studio laptop — the Razer Blade 15 with a GeForce RTX 3070 Laptop GPU.

The team took Top Goose from concept to completion in just two weeks. It likely would’ve taken at least twice as long without the remote collaboration NVIDIA Omniverse offers NVIDIA RTX and GeForce RTX users.

 

Built to showcase the #MadeinMachinima contest, the inspiration was simple. One of the NVIDIANs involved in the project, Dane Johnston, succinctly noted, “How do you get a midcentury legionnaire on an aircraft carrier and what would he be doing? He’d be getting chased by a goose, of course.”

Ready to Take-Off

Johnston and fellow NVIDIANs Dave Tyner, Matthew Harwood and Terry Naas began the project by prepping models for the static assets in Autodesk 3ds Max. Several of the key models came from TurboSquid by Shutterstock, including the F14 fighter jet, aircraft carrier, goose and several props.

High-quality models such as the F14 fighter jet, courtesy of TurboSquid by Shutterstock, are available to all Omniverse users.

TurboSquid has a huge library of 3D models to begin creating within Omniverse. Simply drag and drop models into Omniverse and start collaborating with team members — regardless of the 3D application they’re using or where they’re physically located.

Tyner could easily integrate 3D models he already owned by simply dropping them into the scene from the new Asset Store browser in Omniverse.

Texture details were added within Omniverse in real time using Adobe Photoshop.

The team worked seamlessly between apps within Omniverse, in real time, including Adobe Photoshop.

From there, Adobe Photoshop was used to edit character uniforms and various props within the scene, including the Top Goose badge at the end of the cinematic.

Animators, Mount Up!

Once models were ready, animation could begin. The team used Reallusion’s iClone Character Creator Omniverse Connector to import characters to Machinima.

Omniverse-ready USD animations from Reallusion ActorCore were dragged and dropped into the Omniverse Machinima content browser for easy access.

 

The models and animations were brought into Machinima by Tyner, where he used the retargeting function to instantly apply the animations to different characters, including the top knight from Mount & Blade II: Bannerlord — one of the hundreds of assets included with Omniverse.

Tyner, a generalist 3D artist, supplemented the project by creating custom animations from motion capture using an Xsens suit that was exported to FBX. Using a series of Omniverse Connectors, he brought the FBX files into Autodesk 3ds Max and ran a quick script to create a rudimentary skin.

Then, Tyner sent the skinned character and animation into Autodesk Maya for USD skeleton export to Machinima, using the Autodesk Maya Connector. The animation was automatically retargeted onto the main character inside Machinima. Once the data was captured, the entire mocap workflow took only a few minutes using NVIDIA Studio tools.

If Tyner didn’t have a motion-capture suit, he could have used Machinima’s AI Pose Estimation — a tool within Omniverse that lets anyone with a camera capture movement and create a 3D animation.

Static objects were all animated in Machinima with the Curve Editor and Sequencer. These tools allowed the team to animate anything they wanted, exactly how they wanted. For instance, the team animated the fighter jet barrel rolls with gravity keyed on a y-axis — allowing gravity to be turned on and off.

This technique, coupled with NVIDIA PhysX, also allowed the team to animate the cockpit scene with the flying bread and apples simply by turning off the gravity. The objects in the scene all obeyed the laws of physics and flew naturally without any manual animation.

The team collaborates virtually to achieve realistic animations using the Omniverse platform.

Animating the mighty wings of the goose was no cheap trick. While some of the animations were integrated as part of the asset from TurboSquid, the team collaborated within Omniverse to animate the inverted scenes.

Tyner used Omniverse Cloud Simple Share Early Access to package and send the entire USD project to Johnston and Harwood, NVIDIA’s resident audiophile. Harwood added sounds like the fly-bys and goose honks. Johnston brought the Mount & Blade II: Bannerlord character to life by recording custom audio and animating the character’s face with Omniverse Audio2Face.

Traditional audio workflows usually involve multiple pieces of audio recordings sent piecemeal to the animators. With Simple Share, Tyner packaged and sent the entire USD project to Harwood, who was able to add audio directly to the file and return it with a single click.

Revvin’ Up the Engine

Working in Omniverse meant the team could make adjustments and see the changes, with full-quality resolution, in real time. This saved the team a massive amount of time by not having to wait for single shots to render out.

The 3D artist team works together to finish the scene in Omniverse Machinima and Audio2Face.

With individuals working hundreds of miles apart, the team leveraged Omniverse’s collaboration capabilities with Omniverse Nucleus. They were able to complete set dressing, layout and lighting adjustments in a single real-time jam session.

 

The new constraints system in Machinima was integral to the camera work. Tyner created the shaky camera that helps bring the feeling of being on an aircraft carrier by animating a shaking ball in Autodesk 3ds Max, bringing it in via its Omniverse Connector, and constraining a camera to it using OmniGraph.

Equally important are the new Curve Editor and Sequencer. They gave the team complete intuitive control of the creative process. They used Sequencer to quickly and easily choreograph animated characters, lights, constraints and cameras — including field of view and depth of field.

With all elements in place, all that was left was the final render — conveniently and quickly handled using the Omniverse RTX renderer and without any file transfers in Omniverse Nucleus.

Tyner noted, “This is the first major project that I’ve done where I was never blocked. With Omniverse, everything just worked and was really easy to use.”

Not only was it easy to use individually, but Omniverse, part of the NVIDIA Studio suite of software, let this team of artists easily collaborate while working in and out of various apps from multiple locations.

Top Prizes in the #MadeinMachinima Contest

Top Goose is a showcase for #MadeinMachinima. The contest, which is currently running and closes June 27, asks artists to build and animate a cinematic short story with the Omniverse Machinima app for a chance to win RTX-accelerated NVIDIA Studio laptops.

RTX creators everywhere can remix and animate characters from Squad, Mount & Blade II: Bannerlord, Shadow Warrior 3, Post Scriptum, Beyond the Wire and Mechwarrior Mercenaries 5 using the Omniverse Machinima app.

Experiment with the AI-enabled tools like Audio2Face for instant facial animation from just an audio track; create intuitively with PhysX-powered tools to help you build as if building in reality; or add special effects with Blast for destruction and Flow for smoke and fire. You can use any third-party tools to help with your workflow, just assemble and render your final submission using Omniverse Machinima.

Learn more about NVIDIA Omniverse, including tips, tricks and more on the Omniverse YouTube channel. For additional support, explore the Omniverse forums or join the Discord server to chat with the community. Check out the Omniverse Twitter, Instagram and Medium page to stay up to date.

Follow NVIDIA Studio on Instagram, Twitter and Facebook. Access a wide range of tutorials on the Studio YouTube channel and get updates in your inbox by subscribing to the Studio newsletter.

Heart of the Matter: How a Major Children’s Hospital Uses Open Source NVIDIA AI for Cardiac Care

Children’s Hospital of Philadelphia is using open source AI tools to model children’s hearts in seconds — with the goal of enabling safer, more precise care for kids with congenital heart disease.
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From Enablement to Execution, Egypt’s AI Ecosystem Reaches Production Scale

AI factories are also coming online across South Africa, Morocco and Nigeria, enabling Africa’s developers and enterprises to reach production-scale compute onshore.
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Today, Egypt’s AI builders gathered in the Grand Egyptian Museum for a reception that highlighted the nation’s rapidly growing AI ecosystem — spanning AI natives, developers, researchers, startups and enterprises — building applications across industries.

The event included a keynote from Paolo Guglielmini, vice president of EMEA at NVIDIA. Ahmed Mostafa, regional AI adoption lead for the Middle East and Africa at NVIDIA, delivered a session on “Why Accelerating Every Layer Matters,” exploring NVIDIA’s full-stack approach to AI development and deployment.

The event also featured a panel moderated by Basil Fateen, head of startups for the Middle East and Africa at NVIDIA, with participation from startups across smart spaces, healthcare, cybersecurity and robotics.

In Egypt, the NVIDIA Deep Learning Institute learner base grew more than tenfold in a single year. In June, the National Telecommunications Regulatory Authority of Egypt licensed Hassan Allam Data Centers to build and operate data centers in the country. Under that license, Hassan Allam Utilities and investment firm A15 agreed to develop a new data center, an estimated $400 million investment.

In addition, NVIDIA and A15 in July hosted an event connecting Egypt’s leading founders with NVIDIA’s global ecosystem. This has been complemented by recent startup and investor events in Egypt, including engagements with A15 and Plug and Play at the Creativa Innovation Hub at Sultan Hussein Kamel Palace, an affiliate of the Ministry of Communications and Information Technology.

Spanning a range of industries, members of the NVIDIA Inception program in Egypt include:

  • Aidera: A unified enterprise intelligence system that connects data, systems, workflows and operational touch points turning enterprise-wide signals into informed decisions, intelligent automation, coordinated execution and measurable impact.
  • Intella: Developing Arabic speech intelligence for applications across financial services, telecommunications and more.
  • Marses Robotics: Developing autonomous robotics and industrial automation technologies.
  • Proteinea: Combining AI protein design with lab experiments to develop differentiated medicines.
  • Stakpak: Developing an open source autonomous developer-operations AI agent.
  • Paymob and Thndr: Building better financial services through technology and AI. 

The NVIDIA VC Alliance has also expanded its presence in Egypt, with A15 and M Empire joining the program, connecting more local investors with NVIDIA’s global startup ecosystem. This momentum has been complemented by startup and investor events, including collaborations with RiseUp and Plug and Play, as well as Flat6Labs, a regional entrepreneurship platform supporting startups and innovation across emerging markets, and Algebra Ventures, a Cairo-based venture capital firm backing technology startups.

AI Growth Across Africa

The Egypt ecosystem event showed just a piece of Africa’s larger, growing AI ecosystem. 

For most of the past decade, conversations about Africa’s AI ecosystem revolved around “potential.” They centered on what the technology might do for the continent, rather than what the continent could build with it.

Africa is home to roughly 18% of the world’s population but less than 1% of the world’s data center capacity. This means African developers have often relied on cloud-based compute hosted outside the continent for large-scale AI training.

This is rapidly changing. Within a year, four AI factories have been announced or brought online across Africa, with another 656 megawatts of new capacity in the pipeline. These AI factories will provide African developers and enterprises with the accelerated computing infrastructure needed to train, fine-tune and deploy AI models closer to where data is created.

Cassava Technologies, Africa’s first NVIDIA Cloud Partner, is expanding access to NVIDIA accelerated computing through its AI factory in South Africa and planned deployments across Egypt, Kenya, Nigeria and Morocco — an investment that could reach $720 million. In Egypt, Cassava and Vodafone Egypt recently announced an AI factory initiative to provide businesses and government organizations with locally hosted AI infrastructure through GPU-as-a-service, supporting the development and deployment of AI applications while keeping data in-country. 

Building on Cassava’s first AI factory in South Africa, the rollout aims to expand access to local accelerated computing, helping developers, enterprises and researchers train, customize and deploy AI models closer to where their data is created.

Similarly, Stratos Lab, a South African AI neocloud provider, is partnering with ECOBLOX and Digital Parks Africa to launch an AI cloud powered by more than 50 NVIDIA HGX B300 systems — delivering over 7 exaflops of performance. The deployment gives African enterprises and developers access to high-performance GPU compute locally, enabling model training, inference and agentic AI workloads with lower latency and at reduced costs.

And at GITEX Africa in Marrakech in April, Nexus Core Systems announced a collaboration with Morocco’s Ministry of Digital Transition, its Ministry of Investment and the investment agency AMDIE to build the Nexus AI factory outside Casablanca: a $1.2 billion initial investment with 500 megawatts planned, NVIDIA Blackwell accelerated computing and renewable power from TAQA Morocco.

The Demand Was Already There

Infrastructure of this kind is not based on mere potential — it’s based on confidence that local developers and enterprises are ready to put the infrastructure to productive use.

In 2024, NVIDIA set a target of training 100,000 developers across Africa through the NVIDIA Deep Learning Institute within three years. To date, NVIDIA’s trained over 85,000 developers in Africa, and the continent is among NVIDIA’s fastest-growing developer regions — Nigeria is now the institute’s second-largest market globally.

InstaDeep joined NVIDIA Inception in 2017 as a small team in Tunis using its first NVIDIA DGX system. Since then, it’s developed drug discovery, protein design and logistics optimization applications, and was acquired by BioNTech for about $680 million.

Africa accounts for roughly a third of the world’s languages, often invisible to frontier models. To help advance African language models, language model lab Lelapa AI built InkubaLM and the Vulavula speech service for South African languages including isiZulu and Sesotho.

MeetKai, for example, an NVIDIA Inception member, is expanding its work in Egypt with Smart Africa, building its AI stack on NVIDIA technology as part of its plans for the market. The company is among a growing group of AI innovators using NVIDIA technology to build and scale across Africa.

And there’s still much room to grow. McKinsey puts African data center demand at roughly 0.4 gigawatts today, and estimates it will rise to between 1.5 and 2.2 gigawatts by 2030, which requires between $10 to $20 billion in construction.

Learn more about the NVIDIA Developer Program, NVIDIA Inception and NVIDIA Deep Learning Institute.  

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5 Companies Using NVIDIA AI for Clean Energy

From fast-tracking fusion to repurposing recycled EV batteries for energy storage, these clean energy innovators are harnessing AI to help build a lower carbon grid.
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Clean energy isn’t hard to come by, but the pace of large-scale adoption has historically been slow due to bottlenecks — including out-of-date infrastructure, elongated research and development timelines, and upfront cost barriers. 

At New York Climate Week, NVIDIA is highlighting five companies pioneering clean energy projects with AI baked into their foundation, accelerating research-to-inception pipelines and ultimately helping build a low carbon grid. 

ThinkLabs AI Drives Toward An Autonomous Grid With Digital Twins

ThinkLabs AI is curating digital twins and agents — using the NVIDIA CUDA platform — to speed up interconnection timelines, seamlessly integrate clean energy sources and optimize the grid to handle ongoing variability. 

“The grid is getting less and less certain, so the ability to see things not statically, but as a probability — hence all the utility actions — should be risk informed,” said Josh Wong, founder and CEO of ThinkLabs, a member of the NVIDIA Inception program for cutting-edge startups. “That hits not just reliability objectives, but also affordability, so we know how to maximize and optimize investments.” 

Southern California Edison used ThinkLabs software to reduce the time required to evaluate each grid interconnection application from 30-45 days to just two minutes.

The speedup came from a ThinkLabs agent that runs grid simulations and identifies solutions to interconnection barriers. 

Atomic Canyon’s AI Platform Helps Redefine Operations in the Nuclear Sector 

PG&E’s Diablo Canyon, optimized by Atomic Canyon

Atomic Canyon, another NVIDIA Inception member, is bringing AI-powered knowledge management and assistance to reactor operators with its NVIDIA accelerated compute-powered Neutron and NIVA platforms to streamline nuclear power plant operations.  

Neutron acts as an AI workbench built for nuclear professionals. It turns all of their  procedures, regulatory guidance, operating experience, licensing records, design  calculations, and structured and unstructured data into a knowledge layer.  

NIVA, short for Nuclear Industry Virtual Assistant, was built with the Institute of Nuclear  Power Operations, Electric Power Research Institute and the Nuclear Energy Institute as a unified platform bringing AI-powered capabilities to the national nuclear fleet.  

“Nuclear is a known technology we’ve been doing for 50 to 60 years, but the way we’ve  been doing things simply will not scale to meet the moment that’s in front of us; it needs to be reinvigorated by artificial intelligence,” said Trey Lauderdale, founder and CEO of Atomic Canyon.

Redwood Materials’ Repurposed EV Batteries Power AI Without Waiting on the Grid

Electricity demand from AI is accelerating faster than new grid infrastructure can be built, leading to a bottleneck in the industry’s growth. 

Redwood Materials is closing that gap by harnessing its expertise in battery engineering, power electronics and systems design to build large-scale, off-grid power solutions for AI factories — enabling new capacity to come online in months rather than years.

These 100%-recycled electric vehicle batteries are firming up power suppliers by acting as onsite energy storage to create a secure, flexible energy system for AI factories and the national grid at large. 

The batteries are integrated into existing clean energy infrastructure with an AI intelligence layer — running on the NVIDIA Blackwell platform — that makes the system hypervigilant and adaptable to the real-time energy needs of the data center it’s supplying power to. 

This approach also lowers the cost of power. Redwood’s simplified architecture — built on in-house power electronics — requires far fewer transformers and inverters, eliminates the need for an uninterruptible power supply, and can deploy repurposed or new electric vehicle batteries.  

“Using these batteries with our power electronics and systems control software, you can make a highly responsive power source that can deal with the novel fluctuations of AI training,” said Colin Campbell, chief technology officer of Redwood Materials, another NVIDIA Inception member.

TerraPower’s Natrium Reactor Sets New Standard for Safe, Sustainable Nuclear Power

TerraPower Natrium Reactor

Nuclear energy currently powers 20% of the nation’s electricity. TerraPower is working to make sure that more power is safe, sustainable and quickly harnessable through its emission-free Natrium reactor.

“Twenty years ago, our founders, including Bill Gates, realized that emissions avoidance should also be a part of this energy solution,” said Chris Levesque, president and CEO of TerraPower. 

TerraPower is connecting an NVIDIA Omniverse-powered platform to create digital twin software that will support its efforts to accelerate the siting and delivery of future plants from years to months. 

Natrium reactors have a unique design that separates them from traditional nuclear power; they’re cooled with liquid metal sodium instead of water — allowing them to operate at a lower pressure, equivalent to atmospheric pressure. This reactor doesn’t require offsite water or electricity to keep it stable — in the event of an emergency, it can keep itself cool without any intervention. 

Commonwealth Fusion Systems Creates Fusion Energy Ready for the Grid

Fusion energy is poised to join the clean energy stack in the 2030’s, thanks to Commonwealth Fusion Systems (CFS).  

With the help of NVIDIA Omniverse libraries and OpenUSD, CFS is compressing years of experimentation into weeks for its SPARC tokamak demonstration fusion machine, which can successfully replicate the sun’s power source on Earth.   

Fusion energy is a carbon-free, safe source of power.   

“With fusion, there’s no running out of control,” said Brandon Sorbom, cofounder and chief science officer of CFS. “It is passively safe, since the default mechanism is shutting itself down.”   

Using high-temperature superconductors, CFS enables stronger magnetic fields than previous fusion systems.   

These magnets allow SPARC’s design to be 40x smaller and, by extension, cheaper to build and operate. The company’s ARC power plant — the first of which will be built in Chesterfield County, Virginia, and will connect to the grid in the 2030s — is more than 10x smaller.   

“We will be able to build a first-of-its-kind plant that will be cost-competitive with both renewable and nonrenewable sources of energy,” said Sorbom. 

Explore more NVIDIA-powered sustainability use cases.

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