Nvidia has been training and updating its AI models to leverage the enhanced ... with VP of Applied Deep Learning Research Bryan Catanzaro leading the discussion. Succinctly, it was all oriented ...

The initiative is part of the Nvidia Developer ... Generative AI and Large Language Models (LLMs), Graphics and Simulation, Accelerated Computing, Data Science, and Deep Learning.

Author Tae Kim reveals that Nvidia CEO Jensen Huang invited executives to pitch ideas for his SIGGRAPH 2018 keynote just two ...

Now it turns out it took rather longer to develop the AI model for Nvidia's frame generation technology, fully six years in fact. Again, the revelation comes from a new book on Nvidia, The Nvidia ...

and deep learning anti-aliasing should boost performance on the RTX 30-series and 20-series, too. Nvidia doesn’t call these cards out in its lengthy blog post for the latest app/driver update ...

And demand for infrastructure to power AI software is expected to be immense. The claim that DeepSeek could build an LLM so cheaply sent shock waves through the markets last week, and Nvidia ...

The company claims it used a little more than 2,000 GPUs to train its model and that it had access to 10,000 older Nvidia A100 GPUs. Some experts do not believe it. Alexandr Wang, CEO of Scale AI ...

Its chips power high-performance gaming systems, AI-driven applications, self-driving cars, and data centers. Nvidia also develops software and platforms that enhance machine learning, simulation ...

He joined The Verge in 2019 after nearly two years at Techmeme. Nvidia is touting the performance of DeepSeek’s open source AI models on its just-launched RTX 50-series GPUs, claiming that they ...