8min chapter

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

CHAPTER

Navigating Machine Learning Infrastructure

This chapter explores the distinct infrastructure demands for training versus inference in machine learning, highlighting the resource intensity of training and the efficiency required for inference. It discusses the challenges of compute provisioning and the importance of auto-scaling, along with the financial implications of over-provisioning in the AI industry. Using analogies and anecdotal evidence, the chapter emphasizes the need for scalable solutions and addresses concerns over outdated compute resources amid shifting market behaviors.

00:00

Get the Snipd
podcast app

Unlock the knowledge in podcasts with the podcast player of the future.
App store bannerPlay store banner

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode

Save any
moment

Hear something you like? Tap your headphones to save it with AI-generated key takeaways

Share
& Export

Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more

AI-powered
podcast player

Listen to all your favourite podcasts with AI-powered features

Discover
highlights

Listen to the best highlights from the podcasts you love and dive into the full episode