Everyday AI Podcast – An AI and ChatGPT Podcast

EP 236: NVIDIA GTC Recap - 3 ways NVIDIA is going to change the AI world


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NVIDIA's announcements from its GTC conference will change the AI world. We partnered with NVIDIA and were at the conference all week. We're breaking down all the big headlines and explaining what it means for the future of AI.

Awesome Stuff From Our Partner, NVIDIA -
Register for the FREE virtual NVIDIA GTC Conference or buy tickets to the in-person event and fill out this form here: https://www.youreverydayai.com/nvidia-giveaway/

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Join the discussion: Ask Jordan questions on NVIDIA and AI

Related Episodes:
Ep 234: Driving the Future – NVIDIA’s Vision for AI-powered Transportation
Ep 233: Robots Among Us – How NVIDIA is building the future of robotics

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Timestamps:
01:50 Daily AI news
08:19 Powerful GPUs are crucial for generative AI.
09:42 NVIDIA dominates GPU market with powerful technology.
15:58 2024: Year of generative AI, compute shortage.
19:34 Generative AI implementation expected to surge in 2024.
22:52 Partners investing in NVIDIA for compute tech.
26:32 Simulations revolutionize manufacturing process with accessible technology.
28:56 Predicting audience reaction based on data analysis.
33:41 NVIDIA's Gr00t system revolutionizes robot manufacturing.
36:33 AGI, humanoid robots with language models approaching.
38:25 Insights on robotics and AI at GTC conference.

Topics Covered in This Episode:
1. Nvidia’s Developments and Innovations
2. Nvidia’s Role in Changing AI Ecosystem
4. Benefits and Application of AI-powered Simulations
5. Nvidia’s Involvement in Robotics
6. Speculations and Aspirations for AGI

Keywords:
NVIDIA, GPUs, Blackwell system, NIMS, NEMO, NVIDIA AI Foundry, Omniverse, Isaac robotics, chipmaker, compute sweet spot, simulation-driven world, humanoids, AGI, digital twin, product simulation, service simulation, Groot, robot manufacturers, Figur, Isaac Robotics platforms, artificial general intelligence, Jensen Huang, Fora, NVIDIA GTC conference, Jordan Wilson, generative AI, computational power, edge AI, local model running, MIT researchers.

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