From graphics cards to AI

Anyone who cares a little about computers or the technology industry will probably know NVIDIA. As the inventor of GPU, their N card accompanied game enthusiasts all over the world “struggle” countless days and nights.

But these days, if you think of Nvidia as a company that makes graphics chips, you might be a little out of step.

What does this picture remind you of?

This is Omniverse, Nvidia’s virtual collaboration and simulation platform, and its application in BMW’s factories, virtualizing 31 factories across BMW’s production network using digital twining and AI technology. It not only facilitates real-time data collaboration between factories, but also optimizes production processes, increasing efficiency by 30%.

In addition, many auto companies such as Volvo, Paccar, Isuzu and Einride have used Nvidia’s autonomous driving platform or related technology in their autonomous driving products.

Another example is Nvidia’s cambrid-1 supercomputer and astrazeneca’s drug development partnership. American Express uses Nvidia AI technology to prevent fraud and cybercrime…

As many people know, the CPU is the heart of a personal computer, and all kinds of computing must be done through the CPU. But in fact, GPU has a huge advantage over CPU in parallel computing, so it is more suitable for artificial intelligence computing. In the ERA of AI, Nvidia invested heavily in AI, becoming the dominant chip provider in the industry and building an AI ecosystem (Omniverse, CUDA-X AI, Jarvis, Drive, Riva, RTX, Clara, etc.).

So rather than being a graphics card maker, Nvidia should now be called an AI solution provider.

GTC conference

Every year, Nvidia hosts the GTC Technology Conference, which showcases the most important research in computing today. This has become the most important event for GPU developers.

Today, GTC has expanded its content from high-performance computing and graphics to cloud computing, enterprise computing, artificial intelligence, deep learning, machine learning, natural language processing, autonomous driving, virtual reality, Internet of Things, drug research and development, and other directions, helping to explore new possibilities in various industries through computing and artificial intelligence.

In addition to focusing on the latest scientific research achievements and technology applications, GTC also has its own sub-conference to provide education and training opportunities for start-ups. Invite experts from various fields to teach courses including deep learning, CUDA, etc.

At the same time, Nvidia is making GTC a fully open technology community with events for developers, researchers, scientists, educators, professionals, students, and others, all aiming to make AI universal.

GTC2021 window

The NVIDIA GTC 2021 will be held online from November 8 to 11. Anyone can register for the conference online for free, watch the keynote speeches and participate in related activities.

On November 9th, at 16pm, Nvidia CEO and Founder Jen-Hsun Huang will deliver the opening keynote address.

The conference featured some of the industry’s biggest names as speakers, including Fei-Fei Li from Stanford University, Tim Sweeney from Epic Games, Samy Bengio from Apple, and Ilya Sutskever from OpenAI.

More than 500 sessions will be held during the conference, covering topics such as self-driving cars, AI, supercomputing, healthcare, robotics and finance. Attendees will be able to discuss related topics and engage in in-depth discussions with nvidia’s in-house experts.

Taking autonomous driving as an example, experts from companies in related industries in the NVIDIA DRIVE ecosystem, such as The President of Volvo Group, CEO of Zenseact, founder of Oxbotica, and VICE President of Motional, will give keynote speeches at the chapter to discuss related technologies. There was also a dedicated NVIDIA DRIVE Developer Day, hosted by NVIDIA’s in-house technology architects, to showcase the end-to-end development capabilities of the DRIVE platform. This is a very useful learning opportunity for developers who are engaged in autonomous driving development or are entering the field.