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Where Should Your LLM Live? Local vs Cloud

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Manage episode 514989652 series 3693418
Content provided by Data Zen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Zen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of the Data Zen AI Podcast, we explore one of today’s most practical AI questions: should your large language model (LLM) run locally or in the cloud?
Discover the pros and cons of both options — from privacy and performance to cost and scalability. Learn how developers, startups, and enterprises are making the choice between tools like Ollama or LM Studio for local setups, and APIs from OpenAI, Anthropic, or Google for cloud solutions.
Whether you’re building AI features or just exploring possibilities, this episode will help you understand where your LLM belongs — and why the answer depends on your goals.

  continue reading

6 episodes

Artwork
iconShare
 
Manage episode 514989652 series 3693418
Content provided by Data Zen. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Data Zen or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://podcastplayer.com/legal.

In this episode of the Data Zen AI Podcast, we explore one of today’s most practical AI questions: should your large language model (LLM) run locally or in the cloud?
Discover the pros and cons of both options — from privacy and performance to cost and scalability. Learn how developers, startups, and enterprises are making the choice between tools like Ollama or LM Studio for local setups, and APIs from OpenAI, Anthropic, or Google for cloud solutions.
Whether you’re building AI features or just exploring possibilities, this episode will help you understand where your LLM belongs — and why the answer depends on your goals.

  continue reading

6 episodes

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