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Data Zen AI Podcast (EN)
Data Zen
6 episodes
4 days ago
The Data Zen AI Podcast, created by the Data Zen Community, is a place where data engineers, IT specialists, and project managers uncover the hottest topics in artificial intelligence. From AI, ML, and Generative AI to cloud services and real-world production challenges — join us for practical insights, fresh perspectives, and stories from the world of data projects.
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Technology
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All content for Data Zen AI Podcast (EN) is the property of Data Zen and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
The Data Zen AI Podcast, created by the Data Zen Community, is a place where data engineers, IT specialists, and project managers uncover the hottest topics in artificial intelligence. From AI, ML, and Generative AI to cloud services and real-world production challenges — join us for practical insights, fresh perspectives, and stories from the world of data projects.
Show more...
Technology
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Where Should Your LLM Live? Local vs Cloud
Data Zen AI Podcast (EN)
29 minutes 32 seconds
2 weeks ago
Where Should Your LLM Live? Local vs Cloud

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.

Data Zen AI Podcast (EN)
The Data Zen AI Podcast, created by the Data Zen Community, is a place where data engineers, IT specialists, and project managers uncover the hottest topics in artificial intelligence. From AI, ML, and Generative AI to cloud services and real-world production challenges — join us for practical insights, fresh perspectives, and stories from the world of data projects.