4min chapter

Practical AI: Machine Learning, Data Science, LLM cover image

Serverless GPUs

Practical AI: Machine Learning, Data Science, LLM

CHAPTER

Inference Side Training

In inference land, if you have completely steady traffic all the time, don't use serverless. You'll get unnecessary cold boots and it just slows down your inferencing. Once you have pipelines built in to say automatically collect data and batch train, that actually does work on banana. But most training jobs or most like exploratory training jobs, I would not recommend doing on serverless in part due to the observability that you need to see the tracing setting up things like this is outdated tech.

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