NVIDIA: What's next for the $4T AI powerhouse?
Invisible Machines podcast by UX Magazine - A podcast by Invisible Machines

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Award-winning journalist Stephen Witt sits down with Josh and Robb to share insights from his latest book, The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip. There’s a deep connection between Nvidia’s GPU chips and the neural networks powering the LLMs at the center of agentic AI. Witt’s book provides a captivating biography of Huang that details his radical approach to business and innovation, which has made Nvidia the most valuable company in the world (recently reaching a record-breaking market cap of $4 trillion). This episode explores this history of AI as well as the coming Omniverse and what the power of simulation will mean to businesses.Buy Stephen Witt’s book! The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip---------- Support our show by supporting our sponsors!This episode is supported through partnership with OneReach.ai Experience the runtime for AI agents - a turnkey private architecture and tools for building enterprise AI agents with guardrails. Use any AI modelsWith enterprise grade security And avoid vendor lock-in.OneReach.ai’s award-winning AI agent orchestration platform meets the many requirements for seizing powerful new technologies in this pivotal moment.Learn more at onereach.ai/ai-agents.------------------------------------------------------------The revised and second edition of our bestselling book, Age of Invisible Machines, is available now wherever you buy books! Amazon: https://a.co/d/axLFOhXEpisode CreditsRobb WilsonJosh TysonVishal Menon - ProducerMykhailo Lytvynov - Audio/Video Editor & Sound EngineerDaryna Moskovchuk - Graphic DesignAlla Slesarenko - Copy Vira Prykhodko - Web Development Elias Parker - Executive Producer#InvisibleMachines #Podcast #TechPodcast#AI #AgenticAI#AIPodcast#Nvidia#TechTrends#EnterpriseAI#TheThinkingMachine#FutureofWork#TechBooks#Business#Innovation#simulation#omniverse#jensenhuang