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# Exploring LLMs across clouds


- **Date:** Thursday, Jul 10, 2025
- **Time:** 10:50–11:20 (30 min)
- **Room:** Stage 11
- **Event:** World Congress 2025
- **Tags:** ai, aws, azure, cloud, google cloud, llms, machine learning, rag

## Description

Large Language Models (LLMs) are powerful tools for natural language processing and generation, and they have been widely adopted by various cloud service providers. However, the practical implications of the differences in the approaches, features, and limitations of LLMs across different cloud platforms are significant. In this session, we will compare and contrast the LLM offerings of Google, Microsoft, and Amazon and provide an overview of the pros and cons of each of them. We will also explore the different options and challenges of integrating LLMs in custom applications, as well as the tooling ecosystem that each vendor provides to help developers build LLM-based solutions. Finally, we will discuss the security and safety aspects of using LLMs in the cloud, and the best practices for ensuring ethical and responsible use of generative AI. 

## Speaker

### [Tomislav Tipurić](https://www.wearedevelopers.com/@tomislav-tipuric)

Chief Technology Officer, Nephos


## Related talks at this congress

- [Inside the Mind of an LLM](https://www.wearedevelopers.com/events/world-congress-2025/sessions/831-inside-the-mind-of) — Emanuele Fabbiani
- [ Model Compression Techniques for Efficient LLM Deployment](https://www.wearedevelopers.com/events/world-congress-2025/sessions/811-model-compression) — Harshita Seth, Lavinia Ghita, Sergio Perez, Ziv Ilan
- [Self-Hosted LLMs: From Zero to Inference](https://www.wearedevelopers.com/events/world-congress-2025/sessions/625-self-hosted-llms) — Cedric Clyburn, Roberto Carratalá
- [Three years of putting LLMs into Software - Lessons learned](https://www.wearedevelopers.com/events/world-congress-2025/sessions/561-three-years-of) — Simon A.T. Jiménez