Join Farah Hammami, a Software and Data Engineering student and GDG Monastir Organizer, at Google I/O Extended Monastir 2026 for an enlightening session on what occurs behind AI models. Explore the challenges of scaling AI using Google's open-source tools, delving into memory, parallelism, and more. This online session offers a deeper understanding of AI infrastructure. Tune in on August 29, 2026.
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🎤 Meet Our Speaker — Farah Hammami!
We’re excited to welcome Farah Hammami, Software and Data Engineering Student
and GDG Monastir Organizer, to Google I/O Extended Monastir 2026! 🚀
💡 Session: Inside modern AI: From training to Inference
What really happens behind an AI model? 🤖⚙️
In this session, Farah will take us on a journey behind the scenes of modern AI —
from distributed training and post-training to high-performance inference.
Using Google’s open-source ecosystem, including JAX, MaxText, Tunix, and vLLM,
she’ll explore the engineering challenges that appear as
AI models scale: memory, parallelism, communication, scheduling, and inference efficiency.
A great opportunity to look beyond the model itself and
discover the infrastructure that makes large-scale AI possible. 🚀
📅 29 August 2026
🌐 Online 9:45PM
#GoogleIOExtended #GDGMonastir #GoogleIO #AI #JAX #vLLM
#MachineLearning #AIInfrastructure #DistributedSystems #GoogleDevelopers
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