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Build the Ultimate Application Experiences on Arm

Group of people at a tech booth with overlay text: Join us – WAD World Congress 2025.

Join Arm at WeAreDevelopers World Congress 2025 to explore how to build AI-ready software—from cloud to edge—through hands-on tools, talks, and workshops. Learn how to:

  • Deploy AI across mobile, PC, and IoT with the Arm ecosystem and performance-optimized software.
  • Migrate to Arm architecture with step-by-step guides, CI/CD support, and full-stack compatibility.     
  • Run GenAI, mobile AI, and embedded AI workloads more efficiently with Arm KleidiAI and the latest Arm architecture features for accelerated AI inference.

Space is limited. Register now to secure your seat, and don't forget to get your ticket for WeAreDevelopers World Congress.   

See Agenda

Hands-On Workshops

 

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

Learn how to containerize a PyTorch LLM, build multi-arch Docker images, and deploy scalable applications on AKS using Terraform.

Mobile AI on Arm: AI Text and Audio Generation Entirely on Device

Run text and audio generation entirely on device using frameworks like ExecuTorch and LiteRT—optimized for Arm technologies such as KleidiAI, SVE2, and SME2.

Responsible AI: Build Better Products With Your Personal Yellow Teaming AI Assistant

Create a Yellow Teaming assistant using Llama or ChatGPT to explore product risks, identify blind spots, and strengthen your AI product concept.

AI at the Edge: Build a Smarter IoT on Arm

Build intelligent systems on ultra-constrained devices with Arm tools. Optimize MobileNet, simulate NPU hardware using Corstone, and preview GenAI on FPGA with Arm Ethos-U85.

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Technical Sessions

 

From Model to Metal: An Open Source Stack for Accelerating Intelligence

Learn how Arm accelerates advanced AI with a PyTorch stack powered by open source tools like vLLM, Ray, and oneAPI to streamline workflows, align software and hardware, and enable scalable deployment.

Mobile AI Just Got Faster: What’s Coming for Developers on Arm

Discover how Arm enables efficient mobile AI with upcoming Armv9 CPU acceleration integrated into PyTorch, ONNX Runtime, and Llama.cpp via open source libraries like Arm KleidiAI and XNNPACK.

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Speakers

Andrew Wafaa

Senior Director and Fellow, Software Communities, Arm

Head of the Arm Open Source Office and member of the Strategy & Ecosystem and Developer Platforms leadership team. Wafaa has more than 25 years in open source and serves on boards and committees for the Yocto Project, PyTorch Foundation, FreeBSD Foundation, Xen Project, Zephyr Project, and UXL Foundation.

Gian Marco Iodice

Engineering Lead for Generative AI, Arm

Leader of the Arm GenAI team with over 10 years of experience designing and developing AI libraries, co-creator of Arm KleidiAI and the Arm Compute Library, and author of the TinyML Cookbook.

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