The AI Podcast NVIDIA

India’s AI market is expected to be massive. Yotta Data Services is setting its sights on supercharging it. In this episode of NVIDIA’s AI Podcast, Sunil Gupta, cofounder, managing director and CEO of Yotta Data Services, speaks with host Noah Kravitz about the company’s Shakti Cloud offering, which provides scalable GPU services for enterprises of all sizes. Yotta is the first Indian cloud services provider in the NVIDIA Partner Network, and its Shakti Cloud is India’s fastest AI supercomputing infrastructure, with 16 exaflops of compute capacity supported by over 16,000 NVIDIA H100 Tensor Core GPUs. Tune in to hear Gupta’s insights on India’s potential as a major AI market and how to balance data center growth with sustainability and energy efficiency.

Imagine having a robot that could help you clean up after a party — or fold heaps of laundry. Chengshu Eric Li and Josiah David Wong, two Stanford University Ph.D. students advised by renowned American computer scientist Professor Fei-Fei Li, are making that a ‌dream come true. In this episode of the AI Podcast, host Noah Kravitz spoke with the two about their project, BEHAVIOR-1K, which aims to enable robots to perform 1,000 household chores, including picking up fallen objects or cooking. To train the robots, they’re using the NVIDIA Omniverse platform, as well as reinforcement and imitation learning techniques. Listen to hear more about the breakthroughs and challenges Li and Wong experienced along the way.

Basecamp Research is on a mission to capture the vastness of life on Earth at an unprecedented scale. Phil Lorenz, chief technology officer at Basecamp Research, discusses using AI and biodiversity data to advance fields like medicine and environmental conservation with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Lorenz explains Basecamp’s systematic collection of biodiversity data in partnership with nature parks worldwide and its use of deep learning to analyze and apply it for use cases such as protein structure prediction and gene editing. He also emphasizes the importance of ethical data governance and touches on technological advancements that will help drive the future of AI in biology.

Meet Media.Monks’ Wormhole, an alien-like, conversational robot with a quirky personality and the ability to offer keen marketing expertise. Lewis Smithingham, senior vice president of innovation and special ops at Media.Monks, a global marketing and advertising company, discusses the creation of Wormhole and AI’s potential to enhance media and entertainment with host Noah Kravitz in this AI Podcast episode recorded live at the NVIDIA GTC global AI conference. Wormhole was designed to showcase Monks.Flow, an AI-powered platform that streamlines marketing and content creation workflows. Smithingham delves into Media.Monks’ platforms for media, entertainment and advertising and speaks to its vision for a future where AI enhances creativity and allows for more personalized, scalable content creation.

https://blogs.nvidia.com/blog/media-monks-ai-podcast/

In this episode of the NVIDIA AI Podcast, recorded live at the GTC 2024, host Noah Kravitz sits down with Adam Wenchel, co-founder and CEO of Arthur. Arthur enhances the performance of AI systems across various metrics like accuracy, explainability, and fairness. Wenchel shares insights into the challenges and opportunities of deploying generative AI. The discussion spans a range of topics, including AI bias, the observability of AI systems, and the practical implications of AI in business. For more on Arthur, visit arthur.ai.

Can machine learning help predict extreme weather events and climate change? Christopher Bretherton, senior director of climate modeling at the Allen Institute for Artificial Intelligence, or AI2, explores the technology’s potential to enhance climate modeling with AI Podcast host Noah Kravitz in an episode recorded live at the NVIDIA GTC global AI conference. Bretherton explains how machine learning helps overcome the limitations of traditional climate models and underscores the role of localized predictions in empowering communities to prepare for climate-related risks. Through ongoing research and collaboration, Bretherton and his team aim to improve climate modeling and enable society to better mitigate and adapt to the impacts of climate change.