NVIDIA relies on the further development of AI at the GTC

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At its GTC virtual event, NVIDIA announced a range of new technologies that it believes will transform multiple industries.

With the introduction of NVIDIA Omniverse Avatar and NVIDIA Omniverse Replicator, the company has expanded its platform for collaboration in the virtual world of Omniverse.

NVIDIA Omniverse Avatar can be used to create interactive AI avatars using voice AI, computer vision, natural language comprehension, recommendation engines, and enterprise simulation technologies. NVIDIA believes these avatars will be useful in customer service interactions such as restaurant orders, banking, and face-to-face meetings.

NVIDIA Omniverse Replicator is a data generation engine that creates synthetic data that can be used to train deep neural networks. It starts with two replicators, one for NVIDIA DRIVE Sim and the other for NVIDIA Isaac Sim. According to the company, these two replicators will allow developers to boot AI models and fill in data gaps.

“Omniverse Replicator enables us to create diverse, rich, and accurate datasets to create high-quality, high-performance, and secure datasets that are essential to AI,” said Rev Lebaredian, vice president of Simulation Technology and Omniverse Engineering, NVIDIA. “Although we have developed two domain-specific data generation engines ourselves, we can imagine many companies building their own with Omniverse Replicator.”

In addition to the Omniverse, the company announced a number of other AI innovations at the event:

  • Nemo Megatron, which can be used to train large speech models.
  • Deep Graph Libraries, a Python package for projecting graphs into deep neural network frameworks
  • NVIDIA Modulus, which creates and trains physics-based machine learning models
  • An update for Triton, an inference server that can now infer forest models and perform multi-GPU, multi-node inference

Three new libraries have also been introduced, including ReOpt, which is aimed at the logistics industry; cuQuantum, which will help accelerate quantum computer research; and cuNumeric, which accelerates NumPy for Python data scientists.

For further autonomous vehicles, the company announced Hyperion 8, a hardware and software architecture for autonomous vehicles. NVIDIA CEO and Founder Jensen Huang said during his keynote address, “By 2024, the vast majority of new EVs will have significant AV capabilities.” Hyperion 8’s sensor suite includes 12 cameras, nine radars, 12 ultrasound machines and one after front-facing lidar.

A full list of the event’s announcements is available here.


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