The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch cover image

20VC: Why Google Will Win the AI Arms Race & OpenAI Will Not | NVIDIA vs AMD: Who Wins and Why | The Future of Inference vs Training | The Economics of Compute & Why To Win You Must Have Product, Data & Compute with Steeve Morin @ ZML

The Twenty Minute VC (20VC): Venture Capital | Startup Funding | The Pitch

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GPU Efficiency in Machine Learning

This chapter explores the efficiency of hardware in machine learning, comparing NVIDIA and AMD GPUs. It discusses the challenges and benefits of switching to AMD, market dominance of NVIDIA, and the implications of AI evolution on chip strategies. Additionally, it examines the technological advancements and competitive landscape in the GPU market, highlighting memory transfer speeds and interconnect technology's role in performance.

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