Nvidia GTC 2022 is coming. Here’s what to expect


One of the most anticipated developer conferences, Nvidia GTC, is fast approaching. Scheduled for next month 19-22, the event is expected to bring together thousands of innovators, researchers, thought leaders and decision makers to showcase the latest technological innovations in AI, games, computer graphics, metaverse and more. Thought leaders include Turing Award winners Yoshua Bengio, Geoff Hinton, Yann LeCun and others.

The Nvidia GTC would feature a keynote from Nvidia chief Jensen Huang and host more than 200 sessions with global business and technology leaders. Huang’s main announcement will air live on Tuesday, September 20 at 8:30 p.m. IST (8:00 a.m. PT).

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Nvidia has been the foundation of technological innovations, modern applications and computing platforms. Since its inception in 1993, the company has devoted itself to the field of computing, starting from improving general-purpose computing to revolutionizing the gaming and entertainment industry, to GPU-accelerated computing, then by diversifying into scientific computing, artificial intelligence, data platforms. , and more recently – the metaverse and quantum computing, among others.

The company has been dedicated to solving problems in the computer field, from creating hardware products to software tools, gaming capabilities, architecture, and more. She seeks to help people bring their ideas to fruition faster.

Around 2009, one of the milestones was the design of the next generation of CUDA, codenamed Closedwhere Nvidia basically solved the GPU computing puzzle. CUDA, or Unified Computing Device Architecture, is designed to work with programming languages ​​such as C, C++, and Fortran. This allows developers to use GPU resources efficiently. It also supports multiple programming frameworks including OpenMP, OpenACC, OpenCLand others.

Cut to 2022; the company is replicating CUDA’s success with quantum computing, where it recently launched QODA (Quantum Optimized Device Architecture). Last month, the company opened QODA to accelerate quantum research and development in various fields, including healthcare, finance, HPC (high performance computing), AI and others.

Nothing stops Nvidia.

Earlier this month, the company announced a wide range of Metaverse initiatives. The company plans to bridge the gap between AI and the digital world, creating a more realistic metaverse.

Now, with all these advancements as a backdrop, Nvidia’s GTC, which was launched from 2009, provides a platform to understand general processing computing and challenges in the field, alongside the launch of a futuristic technology where Nvidia’s in-house experts and researchers are experimenting.

In an interview with Analytics India Magazine, Vishal Dhupar, General Manager, South Asia at Nvidia, said they can synthesize virtual worlds with physical worlds because they sit at the intersection of computer graphics, physics and intelligence. “That’s what people come to see. That’s what people soak up. This is what people practice. That’s why GTC,” he added.

What to expect from Nvidia GTC?


Nvidia’s Omniverse has been talked about. The platform provides developers with scalable, real-time, true-to-life multi-GPU simulation and collaboration. The company believes it will revolutionize the way people create and grow as individuals and work together as teams, bringing creative possibilities and efficiency to 3D creators, developers and businesses.

At GTC, the company will announce various updates, libraries, and new tools and applications for creating immersive AI chatbots, realistic avatars, and stunning 3D virtual worlds.

Realistic avatars: Recently, Nvidia announced the launch of realistic avatars that can give computers an animated human face that people could interact with online. This could be similar to what Meta AI researchers have developed, called Myo Suite. This new tool creates realistic musculoskeletal models more efficiently than exercises. Given Nvidia’s rich history in revolutionizing the gaming and entertainment industry, Nvidia has a silver lining to help developers create more lifelike and lifelike avatars.

Metaverse Robots: Nvidia is most likely to launch new AI capabilities and platforms to develop realistic avatars and characters that would help people navigate the digital world.

3D rendering models: In March 2022, Nvidia announcement the launch of Instant NeRF, touted as one of the fastest data access techniques, achieving over 1,000 times faster speeds in some cases. It is a neural rendering model that learns a high-resolution 3D scene in seconds and can render images in milliseconds.

Last year, Nvidia launched GANvers 3D, which can be imported as an extension into Nvidia Omniverse to accurately render 3D objects in the virtual world. We can expect more updates and announcements regarding 3D rendering models at the next GTC.

“Through our network and computing effect, which occurs due to our accelerated computing capabilities, we can go into our imagination and make it real, and we can all create our own world and evenly create many worlds,” Dhupar said. , with enthusiasm. , pointing to the multiple possibilities on Omniverse.

He added that AI has a huge role to play in creating such a 3D world, where machines/bots can write their own software, which humans can drive, and later can learn about themselves and , especially, make recommendations, and predictions based on the interaction in the metaverse.

Nvidia currently offers Omniverse enterprise, where he seeks to help companies create 3D design and digital twin workflows with real-time collaboration and true-to-life simulation. At GTC, there could be announcements of new partnerships on how companies are leveraging its Omniverse Enterprise Platform to create various use cases, including robotic process automation, tackling climate change, design automobile, etc.

quantum computing

Building on the success of CUDA, which opened up a new kind of hardware and programming paradigm, Nvidia is betting big on quantum computing to help develop an ecosystem of hybrid quantum applications running on top of QODA.

Citing examples from CUDA, Dhupar said QODA allows developers to run quantum simulations. “You can write lots of test apps, and we can prepare for when quantum hardware really comes into play,” he added, saying it’s simpler enough to use than the way one would typically run the computer. classical computing.

“It helps quantum computing scientists write algorithms and test their applications and take it to the next level using the GPU where instead of one or two bits you can write in hundreds of bits, qubits and move forward on it,” Dhupar explained.

At GTC, the company would announce some of the latest use cases and updates to its platforms, as well as the latest partnership and collaboration to accelerate quantum computing research across the world.

Hardware, AI chips and more

Previously, Nvidia announced that it would release BlueField-4 by 2023. The BlueField data processing unit supports the CUDA parallel programming platform and Nvidia AI, turbocharging networked computer vision.

The company also announced the launch of Nvidia Gracethe first data center processor, an Arm-based processor that will provide 10x the performance today’s fastest servers on the most complex AI and HPC workloads.

“It’s the only company that talks about three processors, the CPU, the GPU and the DPU; on accelerating applications in several areas; about a recent problem that’s holding you back and how you create that in a solution that’s becoming a mega-market,” Dhupar said, hinting that the company would announce major hardware and chip updates at semiconductors.

At GTC, we can expect the company to release new hardware for the data center, CPUs, GPUs and more as part of x86 architecture and the size of the computer.

Text to image conversion tools

In 2019, Nvidia introduced GauGAN, an artificial intelligence tool that turns sketches into photorealistic landscapes. Lately, there’s been a lot of buzz around image-generating tools like Meta’s “Make a Scene”, OpenAI’s DALL.E-2 and Midjourney, among others. Chances are Nvidia will make similar announcements regarding the release of text-to-image models and platforms.

Autonomous vehicle

At last year’s GTC, Nvidia announced the Nvidia DRIVE, powered by Hyperion 8. It is an end-to-end modular development platform and reference architecture for designing autonomous vehicles (AV). This includes the NVIDIA DRIVE AGX Orin™, DRIVE AGX Pegasus, and DRIVE Hyperion 8.1 development kits, all built on the NVIDIA DRIVE Orin system-on-chip (SoC).

Nvidia’s Dhupar didn’t reveal much about NVIDIA DRIVE Hyperion. However, he said that there were many things, whether it was from a computer or software point of view, there would be discussions around all of them.

“Every area we’ve talked about is going through the biggest change in technology – what people call Web 3.0, some call it the metaverse, and everything in between is something we should look forward to,” said Dhupar.


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