
AI Training β October 13β16, 2025
This four-half-day program is designed for AI researchers, data scientists, and practitioners eager to optimize and scale AI workloads on AMD GPUs.
Program highlights:
- Day 1 (Beginner): AMD GPU architecture, ML/AI environments, AMD AI Assistant.
- Days 2β4 (Advanced): HIP-Python, CuPy, MPI4Py, RCCL, PyTorch, AI for science, LLM-assisted optimization, AMD profiling tools.
- Combination of lectures, demos, and hands-on exercises using AMD Accelerator Cloud.
Audience: AI/data scientists from academia or industry.
Prerequisites:
- Beginner: Python, compute environment basics.
- Advanced: Linux, AI on HPC systems, profiling/optimization, hardware basics.
Date: October 13β16, 2025 (afternoons CET)
Mandatory registration here (or on the top right of this page β>)
Format: Online: remote participants will access AMD infrastructures via the AMD Accelerator Cloud.
By the end of this training, participants will be able to run, scale, and optimize AI workloads on AMD GPUs using state-of-the-art frameworks and tools.
Organized by AMD, NCC France (CC-FR) and Castiel2, within the EuroCC Project.