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# Scaling LLM Applications on Arm: Optimize for Performance and Cost in the Cloud


- **Date:** Thursday, Jul 10, 2025
- **Time:** 10:30–12:30 (120 min)
- **Room:** M3 (45 Seats)
- **Event:** World Congress 2025

## Description

Running cloud workloads and containerized LLM-based applications on Arm delivers better price-performance, improves energy efficiency, and meets growing demands for scale and sustainability. In this hands-on workshop, get a walkthrough of the end-to-end process of containerizing a PyTorch application, building multi-architecture Docker images, deploying Azure Kubernetes Service (AKS) using Terraform, and running your application across scalable cloud workloads. If you’re running applications in the cloud, this session shows you how to do it better, faster, and more cost-effectively.

*All workshop attendees are required to bring their own laptop*

## Speaker

### [Avin Zarlez](https://www.wearedevelopers.com/@avin-zarlez)

Staff SW Engineer & Developer Evangelist at Arm


## Related talks at this congress

- [AI at the Edge: Build a Smarter IoT on Arm](https://www.wearedevelopers.com/events/world-congress-2025/sessions/878-ai-at-the-edge-build) — Annie Tallund
- [Mobile AI on Arm: AI Text and Audio Generation Entirely on Device ](https://www.wearedevelopers.com/events/world-congress-2025/sessions/572-mobile-ai-on-arm-ai) — Michael Hall
- [LLMOps-driven fine-tuning, evaluation, and inference with NVIDIA NIM & NeMo Microservices](https://www.wearedevelopers.com/events/world-congress-2025/sessions/862-llmops-driven-fine) — Anshul Jindal
- [Building Agentic Apps with Docker](https://www.wearedevelopers.com/events/world-congress-2025/sessions/511-building-agentic) — Michael Irwin